1 00:00:00,060 --> 00:00:01,476 NARRATOR: The following content is 2 00:00:01,476 --> 00:00:04,019 provided under a Creative Commons license. 3 00:00:04,019 --> 00:00:06,870 Your support will help MIT OpenCourseWare continue 4 00:00:06,870 --> 00:00:10,730 to offer high quality educational resources for free. 5 00:00:10,730 --> 00:00:13,340 To make a donation or view additional materials 6 00:00:13,340 --> 00:00:17,215 from hundreds of MIT courses, visit MIT OpenCourseWare 7 00:00:17,215 --> 00:00:17,840 at ocw.mit.edu. 8 00:00:27,200 --> 00:00:29,810 PROFESSOR: Welcome to another exciting day 9 00:00:29,810 --> 00:00:34,740 of Engineering Innovation and Design. 10 00:00:34,740 --> 00:00:37,100 We'll read some interesting things today 11 00:00:37,100 --> 00:00:39,981 so the pace might be a little bit faster. 12 00:00:39,981 --> 00:00:40,480 Here we go. 13 00:00:43,420 --> 00:00:46,760 Pop quiz. 14 00:00:46,760 --> 00:00:48,517 I've given you a piece of paper there. 15 00:00:48,517 --> 00:00:50,850 If you don't have that paper you can use your own paper. 16 00:00:54,220 --> 00:00:56,360 This is the pop quiz. 17 00:00:56,360 --> 00:00:57,635 It's going to be given orally. 18 00:01:00,117 --> 00:01:00,700 Are you ready? 19 00:01:03,930 --> 00:01:11,320 I want you to tell me what questions I 20 00:01:11,320 --> 00:01:15,820 would ask you on a pop quiz today. 21 00:01:15,820 --> 00:01:18,890 That is your pop quiz. 22 00:01:18,890 --> 00:01:19,390 Question. 23 00:01:19,390 --> 00:01:21,098 AUDIENCE: Could you repeat that question? 24 00:01:21,098 --> 00:01:22,460 PROFESSOR: I'd be happy to. 25 00:01:22,460 --> 00:01:23,830 It sounds a bit circular, right? 26 00:01:23,830 --> 00:01:27,060 I want you to tell me what you think 27 00:01:27,060 --> 00:01:29,930 I would ask you on a pop quiz today 28 00:01:29,930 --> 00:01:31,780 if I were giving you a quiz on the material 29 00:01:31,780 --> 00:01:33,760 that we've had so far. 30 00:01:33,760 --> 00:01:36,010 AUDIENCE: What are the 10 steps in the design process. 31 00:01:36,010 --> 00:01:38,010 PROFESSOR: You should just write this down. 32 00:01:38,010 --> 00:01:40,093 But I'm sure everyone would appreciate your answer 33 00:01:40,093 --> 00:01:41,400 because it's a good one. 34 00:01:41,400 --> 00:01:42,440 So write that down. 35 00:01:42,440 --> 00:01:44,570 You might have two or three answers. 36 00:01:44,570 --> 00:01:47,790 I'll give you about 34 seconds to fill that out. 37 00:01:54,320 --> 00:01:55,530 And time. 38 00:01:55,530 --> 00:01:56,280 Take your papers. 39 00:01:56,280 --> 00:01:59,502 Pass them over to this side of the room all the way that side. 40 00:01:59,502 --> 00:02:01,210 And pass them to the top down once you've 41 00:02:01,210 --> 00:02:03,510 collected all those papers. 42 00:02:03,510 --> 00:02:05,900 Now-- and let's do it quietly-- here's the question. 43 00:02:05,900 --> 00:02:07,607 What questions would I ask you? 44 00:02:07,607 --> 00:02:10,255 AUDIENCE: [INAUDIBLE] 45 00:02:10,255 --> 00:02:11,130 PROFESSOR: Your name. 46 00:02:11,130 --> 00:02:11,921 That's a great one. 47 00:02:11,921 --> 00:02:14,447 Keep going. 48 00:02:14,447 --> 00:02:15,780 AUDIENCE: Do we write our names? 49 00:02:15,780 --> 00:02:16,040 PROFESSOR: Oh, yes. 50 00:02:16,040 --> 00:02:17,510 You should write your name on your paper, of course. 51 00:02:17,510 --> 00:02:18,570 Yes. 52 00:02:18,570 --> 00:02:19,997 That's so I know who wrote this. 53 00:02:19,997 --> 00:02:22,330 But that would be a good question to ask on a pop quiz-- 54 00:02:22,330 --> 00:02:23,132 your name. 55 00:02:23,132 --> 00:02:24,340 AUDIENCE: What is innovation. 56 00:02:24,340 --> 00:02:25,060 PROFESSOR: What is innovation. 57 00:02:25,060 --> 00:02:25,910 That's great. 58 00:02:25,910 --> 00:02:28,038 What else? 59 00:02:28,038 --> 00:02:33,000 AUDIENCE: A few characteristics of good and bad design? 60 00:02:33,000 --> 00:02:34,650 PROFESSOR: A few characteristics of? 61 00:02:34,650 --> 00:02:36,130 Of good and bad design. 62 00:02:36,130 --> 00:02:36,700 Sure. 63 00:02:36,700 --> 00:02:37,618 What else? 64 00:02:37,618 --> 00:02:39,410 AUDIENCE: I believe I've already stated-- 65 00:02:39,410 --> 00:02:39,795 PROFESSOR: You did. 66 00:02:39,795 --> 00:02:40,753 And it was a great one. 67 00:02:40,753 --> 00:02:41,757 Could you restate it? 68 00:02:41,757 --> 00:02:43,550 AUDIENCE: What are the 10 steps of the design process. 69 00:02:43,550 --> 00:02:44,740 PROFESSOR: The 10 step design process. 70 00:02:44,740 --> 00:02:45,805 That's a wonderful one. 71 00:02:45,805 --> 00:02:49,137 Because that may even occur on a subsequent pop quiz. 72 00:02:49,137 --> 00:02:50,970 AUDIENCE: What makes a good design critique. 73 00:02:50,970 --> 00:02:51,930 PROFESSOR: What makes a good design critique. 74 00:02:51,930 --> 00:02:52,950 Excellent. 75 00:02:52,950 --> 00:02:55,140 AUDIENCE: What's the most important question to ask. 76 00:02:55,140 --> 00:02:56,590 PROFESSOR: What's the most important question 77 00:02:56,590 --> 00:02:58,590 to ask particularly when you're given a problem. 78 00:02:58,590 --> 00:02:59,240 Absolutely. 79 00:02:59,240 --> 00:03:00,500 That's a great one. 80 00:03:00,500 --> 00:03:01,956 Any other ones? 81 00:03:01,956 --> 00:03:03,210 You did a great job. 82 00:03:03,210 --> 00:03:04,400 You all get A's. 83 00:03:04,400 --> 00:03:06,050 So that's the beginning. 84 00:03:06,050 --> 00:03:07,780 So look for these questions that may 85 00:03:07,780 --> 00:03:12,647 appear on subsequent pop quizzes. 86 00:03:12,647 --> 00:03:13,480 Let's start in here. 87 00:03:13,480 --> 00:03:17,560 I want to know if anybody here knows who these two people are. 88 00:03:17,560 --> 00:03:20,250 Anybody know who this person is on the right? 89 00:03:20,250 --> 00:03:20,820 Tell me. 90 00:03:20,820 --> 00:03:21,500 Who is it? 91 00:03:21,500 --> 00:03:22,354 AUDIENCE: John Ive. 92 00:03:22,354 --> 00:03:23,270 PROFESSOR: Johnny Ive. 93 00:03:23,270 --> 00:03:23,770 Absolutely. 94 00:03:23,770 --> 00:03:25,262 And what does Johnny Ive do? 95 00:03:25,262 --> 00:03:28,775 AUDIENCE: He's the Chief Designer at Apple. 96 00:03:28,775 --> 00:03:29,400 PROFESSOR: Yup. 97 00:03:29,400 --> 00:03:31,560 Chief Designer at Apple for hardware products. 98 00:03:31,560 --> 00:03:32,540 AUDIENCE: Industrial Designer. 99 00:03:32,540 --> 00:03:32,980 PROFESSOR: Industrial Designer. 100 00:03:32,980 --> 00:03:33,960 Exactly. 101 00:03:33,960 --> 00:03:37,120 And on the left-- this guy here in the black and white 102 00:03:37,120 --> 00:03:41,590 picture-- who's he? 103 00:03:41,590 --> 00:03:42,399 Hah. 104 00:03:42,399 --> 00:03:43,940 Not as famous as Johnny Ive, I guess. 105 00:03:43,940 --> 00:03:44,750 Oh, maybe he is. 106 00:03:44,750 --> 00:03:45,587 Hold on. 107 00:03:45,587 --> 00:03:46,840 AUDIENCE: Is it Dieter Rams? 108 00:03:46,840 --> 00:03:48,760 PROFESSOR: It is Dieter Rams. 109 00:03:48,760 --> 00:03:51,060 Absolutely. 110 00:03:51,060 --> 00:03:54,140 Dieter Rams and Johnny Ive-- two very important people. 111 00:03:54,140 --> 00:03:56,810 Let's show you a little bit about them. 112 00:03:56,810 --> 00:04:00,450 Dieter Rams was born in 1932 in Germany. 113 00:04:00,450 --> 00:04:02,480 And he's closely associated with something 114 00:04:02,480 --> 00:04:06,730 called the functionalist school of industrial design. 115 00:04:06,730 --> 00:04:08,900 He made these things. 116 00:04:08,900 --> 00:04:11,920 Johnny Ive was born a lot later in 1967. 117 00:04:11,920 --> 00:04:13,890 And you're all familiar with his work 118 00:04:13,890 --> 00:04:16,709 from having experienced it firsthand or seen it firsthand. 119 00:04:19,480 --> 00:04:23,350 These are Dieter Rams' work. 120 00:04:23,350 --> 00:04:26,930 These are Johnny Ive's work. 121 00:04:26,930 --> 00:04:27,790 Let's do that again. 122 00:04:27,790 --> 00:04:30,912 This is what Dieter Rams made. 123 00:04:30,912 --> 00:04:35,780 And, interestingly enough, Johnny Ives made these. 124 00:04:35,780 --> 00:04:38,980 Do you notice any parallels? 125 00:04:38,980 --> 00:04:41,440 Let's take a look some more. 126 00:04:41,440 --> 00:04:42,740 Johnny Ive on the right. 127 00:04:42,740 --> 00:04:45,850 Dieter Rams on the left. 128 00:04:45,850 --> 00:04:47,832 Johnny Ive on the right. 129 00:04:47,832 --> 00:04:50,160 Dieter Rams on the left. 130 00:04:50,160 --> 00:04:54,120 And would you believe Johnny on the right and Dieter Rams 131 00:04:54,120 --> 00:04:56,420 on the left? 132 00:04:56,420 --> 00:04:59,250 Again, Johnny Ive on the right with a speaker that 133 00:04:59,250 --> 00:05:02,210 has an iPod on top of it and a speaker over here 134 00:05:02,210 --> 00:05:05,750 that has a phonograph on it. 135 00:05:05,750 --> 00:05:06,750 An iMac. 136 00:05:06,750 --> 00:05:07,790 A speaker. 137 00:05:07,790 --> 00:05:08,770 Johnny Ive. 138 00:05:08,770 --> 00:05:10,220 Dieter Rams. 139 00:05:10,220 --> 00:05:11,410 Johnny Ive on the right. 140 00:05:11,410 --> 00:05:12,870 It's like a television. 141 00:05:12,870 --> 00:05:14,620 Doesn't it look like a television? 142 00:05:14,620 --> 00:05:15,950 And here it's a television. 143 00:05:15,950 --> 00:05:20,110 So this interesting. 144 00:05:20,110 --> 00:05:23,390 That's a speaker I guess. 145 00:05:23,390 --> 00:05:24,944 What is this product? 146 00:05:24,944 --> 00:05:25,700 AUDIENCE: An iPod. 147 00:05:25,700 --> 00:05:26,630 PROFESSOR: It is an iPod. 148 00:05:26,630 --> 00:05:27,530 And what is this product? 149 00:05:27,530 --> 00:05:28,280 AUDIENCE: A radio. 150 00:05:28,280 --> 00:05:29,620 PROFESSOR: It's a radio. 151 00:05:29,620 --> 00:05:30,800 It's a radio. 152 00:05:30,800 --> 00:05:33,587 So here's the question. 153 00:05:33,587 --> 00:05:35,670 They didn't talk about this for a very long time-- 154 00:05:35,670 --> 00:05:36,794 Johnny Ive and Dieter Rams. 155 00:05:36,794 --> 00:05:39,270 So we're going to put ourselves back up a few months 156 00:05:39,270 --> 00:05:42,504 or a few years ago when no one knew what's going on here 157 00:05:42,504 --> 00:05:43,920 or how they felt about each other. 158 00:05:46,790 --> 00:05:49,480 What do you think about this? 159 00:05:49,480 --> 00:05:52,588 What do you think about this when you see this? 160 00:05:52,588 --> 00:05:53,754 AUDIENCE: Legally different. 161 00:05:58,070 --> 00:05:59,420 PROFESSOR: Legally different? 162 00:05:59,420 --> 00:06:00,067 Legally. 163 00:06:00,067 --> 00:06:00,900 What does that mean? 164 00:06:04,302 --> 00:06:06,302 AUDIENCE: It wouldn't be copyright infringement. 165 00:06:06,302 --> 00:06:08,093 PROFESSOR: It's not copyright infringement. 166 00:06:08,093 --> 00:06:09,440 Yeah, totally different. 167 00:06:09,440 --> 00:06:11,342 These look totally different from each other. 168 00:06:11,342 --> 00:06:12,800 I know there's no way you could see 169 00:06:12,800 --> 00:06:17,524 any similarity in this corpus of work at all. 170 00:06:17,524 --> 00:06:19,690 Don't tell the Apple lawyers who are suing Samsung-- 171 00:06:19,690 --> 00:06:22,840 or who sued Samsung successfully. 172 00:06:22,840 --> 00:06:23,340 What else? 173 00:06:23,340 --> 00:06:24,890 What else do you think of when you see this? 174 00:06:24,890 --> 00:06:25,230 Yes. 175 00:06:25,230 --> 00:06:26,690 AUDIENCE: Good design is repeated. 176 00:06:26,690 --> 00:06:27,700 PROFESSOR: Good design is repeated. 177 00:06:27,700 --> 00:06:29,000 What do you mean by repeated? 178 00:06:29,000 --> 00:06:29,980 AUDIENCE: Used again. 179 00:06:29,980 --> 00:06:30,960 PROFESSOR: That's pretty clever. 180 00:06:30,960 --> 00:06:31,460 Used again. 181 00:06:31,460 --> 00:06:33,654 [LAUGHTER] 182 00:06:33,654 --> 00:06:34,570 PROFESSOR: It's very-- 183 00:06:34,570 --> 00:06:38,057 [INTERPOSING VOICES] 184 00:06:40,327 --> 00:06:42,160 PROFESSOR: So she's saying that good design, 185 00:06:42,160 --> 00:06:43,785 you just use the same thing over again. 186 00:06:43,785 --> 00:06:44,650 AUDIENCE: No. 187 00:06:44,650 --> 00:06:45,270 PROFESSOR: No. 188 00:06:45,270 --> 00:06:46,290 Not quite? 189 00:06:46,290 --> 00:06:46,970 Am I shading it? 190 00:06:46,970 --> 00:06:47,469 OK. 191 00:06:47,469 --> 00:06:50,159 Let's see what-- go ahead. 192 00:06:50,159 --> 00:06:51,200 AUDIENCE: No, that's all. 193 00:06:51,200 --> 00:06:52,240 PROFESSOR: OK, fine. 194 00:06:52,240 --> 00:06:53,590 If you think of something, let me know. 195 00:06:53,590 --> 00:06:54,879 AUDIENCE: As long as you don't have 196 00:06:54,879 --> 00:06:56,404 to redesign the wheel, [INAUDIBLE]? 197 00:06:59,380 --> 00:07:01,960 PROFESSOR: So adapting designs for what you need, OK. 198 00:07:01,960 --> 00:07:04,700 What else? 199 00:07:04,700 --> 00:07:07,690 AUDIENCE: While the designs are very similar and shared 200 00:07:07,690 --> 00:07:10,120 between them, the products themselves are very different. 201 00:07:10,120 --> 00:07:10,390 PROFESSOR: Ah. 202 00:07:10,390 --> 00:07:13,015 He says the designs are similar but the products are different. 203 00:07:13,015 --> 00:07:14,140 Tell me. 204 00:07:14,140 --> 00:07:17,650 I see a music player on the left and a music player 205 00:07:17,650 --> 00:07:19,320 on the right. 206 00:07:19,320 --> 00:07:20,990 This one fits in your pocket. 207 00:07:20,990 --> 00:07:23,580 This one fits in your pocket. 208 00:07:23,580 --> 00:07:25,554 This one has a circular thing that spins 209 00:07:25,554 --> 00:07:27,220 and this is a circular thing that spins. 210 00:07:27,220 --> 00:07:28,140 This allows you to select stuff. 211 00:07:28,140 --> 00:07:30,820 That circle and this circle allows you to select stuff. 212 00:07:30,820 --> 00:07:32,237 Tell me are they different? 213 00:07:32,237 --> 00:07:33,112 AUDIENCE: [INAUDIBLE] 214 00:07:37,881 --> 00:07:39,130 PROFESSOR: A little different. 215 00:07:39,130 --> 00:07:40,440 Sure. 216 00:07:40,440 --> 00:07:44,390 Because it's a screen over here on the right. 217 00:07:44,390 --> 00:07:46,060 And a hard drive, yes. 218 00:07:46,060 --> 00:07:47,700 Actually it's kind of funny. 219 00:07:47,700 --> 00:07:54,270 Right now, interestingly, if you buy an iPod Touch or something, 220 00:07:54,270 --> 00:07:57,780 you don't have to have music on your iPod. 221 00:07:57,780 --> 00:08:02,325 It streams it wirelessly over the air much like a radio. 222 00:08:05,775 --> 00:08:07,580 Fascinatingly similar. 223 00:08:07,580 --> 00:08:08,830 Everything old is new again. 224 00:08:08,830 --> 00:08:12,020 So you say they're different, but they're kind of similar. 225 00:08:12,020 --> 00:08:12,520 What else? 226 00:08:16,407 --> 00:08:17,990 How do you think they feel about this? 227 00:08:17,990 --> 00:08:20,570 How do you think that Dieter Rams felt 228 00:08:20,570 --> 00:08:23,864 when he saw these things coming out? 229 00:08:23,864 --> 00:08:24,530 AUDIENCE: Happy? 230 00:08:24,530 --> 00:08:25,360 PROFESSOR: Happy. 231 00:08:25,360 --> 00:08:26,476 Why happy? 232 00:08:26,476 --> 00:08:28,860 AUDIENCE: He insprired a whole new generation of design. 233 00:08:28,860 --> 00:08:29,818 PROFESSOR: There we go. 234 00:08:29,818 --> 00:08:33,940 So he says, I'm so glad you're copying all my hardware. 235 00:08:33,940 --> 00:08:36,039 I feel like I've really, really contributed 236 00:08:36,039 --> 00:08:37,707 a lot more to society because of this. 237 00:08:37,707 --> 00:08:38,790 That's one interpretation. 238 00:08:41,320 --> 00:08:45,910 What if someone was sitting next to you during a test 239 00:08:45,910 --> 00:08:47,760 and took that philosophy? 240 00:08:47,760 --> 00:08:51,240 Would you feel happy about the fact that they were inspiring 241 00:08:51,240 --> 00:08:53,669 a whole new set of A's? 242 00:08:53,669 --> 00:08:54,210 I don't know. 243 00:08:56,810 --> 00:09:00,380 At what point have you ever made something or thought, hey, 244 00:09:00,380 --> 00:09:03,060 you're copying our stuff? 245 00:09:03,060 --> 00:09:05,532 AUDIENCE: You want to look at whoever wrote the textbook. 246 00:09:05,532 --> 00:09:07,990 You're reading the textbook and putting down the knowledge. 247 00:09:07,990 --> 00:09:10,870 You're stealing from them. 248 00:09:10,870 --> 00:09:12,239 PROFESSOR: I don't know. 249 00:09:12,239 --> 00:09:12,780 I don't know. 250 00:09:12,780 --> 00:09:13,613 This is interesting. 251 00:09:13,613 --> 00:09:17,080 So we have these things that definitely seem very similar. 252 00:09:19,710 --> 00:09:25,460 But what's interesting is that they both believe 253 00:09:25,460 --> 00:09:28,010 in the same fundamental approaches 254 00:09:28,010 --> 00:09:30,140 to how to design great stuff. 255 00:09:30,140 --> 00:09:32,410 And they might have come to similar conclusions 256 00:09:32,410 --> 00:09:37,860 either knowingly, because of this form factor, 257 00:09:37,860 --> 00:09:40,770 maybe somewhat unknowingly and they realized, 258 00:09:40,770 --> 00:09:43,420 boy this looks a little bit like this, 259 00:09:43,420 --> 00:09:45,160 what can we learn from that. 260 00:09:45,160 --> 00:09:47,167 What is step number two? 261 00:09:47,167 --> 00:09:48,500 AUDIENCE: The information phase. 262 00:09:48,500 --> 00:09:49,410 PROFESSOR: The information phase, yes. 263 00:09:49,410 --> 00:09:50,480 The information phase. 264 00:09:50,480 --> 00:09:52,396 So how can we leverage what's out in the world 265 00:09:52,396 --> 00:09:53,910 already to inform our design? 266 00:09:53,910 --> 00:09:57,330 And they might have looked at-- I don't know-- 50 or 100 or 200 267 00:09:57,330 --> 00:09:59,830 different ideas and came on this one or a group of them 268 00:09:59,830 --> 00:10:00,390 that looked like this. 269 00:10:00,390 --> 00:10:02,306 And he said, it reminds me of this other thing 270 00:10:02,306 --> 00:10:04,380 that I saw a long time ago, when I was a kid. 271 00:10:04,380 --> 00:10:07,100 And I loved the way it worked. 272 00:10:07,100 --> 00:10:07,805 So yes. 273 00:10:07,805 --> 00:10:09,180 I think you're right about this-- 274 00:10:09,180 --> 00:10:13,220 that great design has a lot of similarities. 275 00:10:13,220 --> 00:10:15,650 And you'll see this happening throughout history. 276 00:10:15,650 --> 00:10:18,490 Things change very little in history. 277 00:10:18,490 --> 00:10:21,280 There are few changes that occur-- fundamental changes. 278 00:10:21,280 --> 00:10:24,180 Take a look at kitchens. 279 00:10:24,180 --> 00:10:27,230 Kitchens in the past-- I don't know, let's say 60, 280 00:10:27,230 --> 00:10:30,460 70 years-- have only had really two changes 281 00:10:30,460 --> 00:10:32,160 that are substantive. 282 00:10:32,160 --> 00:10:34,480 One of them is that there are now-- almost always when 283 00:10:34,480 --> 00:10:36,885 the new kitchens are designed-- open to another room 284 00:10:36,885 --> 00:10:38,640 or to an area where people can entertain. 285 00:10:38,640 --> 00:10:41,130 People use the kitchen differently now 286 00:10:41,130 --> 00:10:43,010 as a way of connecting with people. 287 00:10:43,010 --> 00:10:44,500 Before, you'd shut off the kitchen. 288 00:10:44,500 --> 00:10:45,420 You close the door. 289 00:10:45,420 --> 00:10:46,650 And you bring out the food. 290 00:10:46,650 --> 00:10:49,025 And you say, look at this beautiful food and not the mess 291 00:10:49,025 --> 00:10:50,280 in the kitchen. 292 00:10:50,280 --> 00:10:51,020 That changed. 293 00:10:51,020 --> 00:10:53,710 And microwave ovens changed. 294 00:10:53,710 --> 00:10:55,630 Who here has a microwave oven? 295 00:10:55,630 --> 00:10:56,710 Wow. 296 00:10:56,710 --> 00:10:58,900 And who here has a microwave oven 297 00:10:58,900 --> 00:11:00,544 and doesn't have their own kitchen? 298 00:11:00,544 --> 00:11:02,210 So some of you don't even have a kitchen 299 00:11:02,210 --> 00:11:03,040 and you've got a microwave oven. 300 00:11:03,040 --> 00:11:03,747 Pretty amazing. 301 00:11:03,747 --> 00:11:04,580 That's a big change. 302 00:11:04,580 --> 00:11:07,490 Otherwise, we've got refrigeration. 303 00:11:07,490 --> 00:11:08,777 We've got a stove. 304 00:11:08,777 --> 00:11:10,860 About the same height as all the stoves before it. 305 00:11:10,860 --> 00:11:13,530 We've got ovens. 306 00:11:13,530 --> 00:11:16,557 If you're rich, you might have two ovens. 307 00:11:16,557 --> 00:11:18,140 Maybe you have a garbage disposal now, 308 00:11:18,140 --> 00:11:19,848 but there's not a whole bunch of changes. 309 00:11:19,848 --> 00:11:21,290 Things change very slowly. 310 00:11:21,290 --> 00:11:23,050 So we'll see this in design. 311 00:11:23,050 --> 00:11:25,276 And what's interesting is that Dieter Rams came up 312 00:11:25,276 --> 00:11:28,310 with these 10 principles of good design. 313 00:11:28,310 --> 00:11:30,090 So let's discuss them. 314 00:11:30,090 --> 00:11:34,030 I want you to tell me, for each of these principles, 315 00:11:34,030 --> 00:11:40,455 what you think they mean and if you think they're any good. 316 00:11:40,455 --> 00:11:44,550 Good design is innovative. 317 00:11:44,550 --> 00:11:46,675 What does that mean that good design is innovative? 318 00:11:49,625 --> 00:11:50,250 How about this. 319 00:11:50,250 --> 00:11:52,430 Who thinks good design is not innovative-- does not 320 00:11:52,430 --> 00:11:53,346 have to be innovative? 321 00:11:56,460 --> 00:11:58,292 Give me some example. 322 00:11:58,292 --> 00:11:59,284 AUDIENCE: [INAUDIBLE]. 323 00:11:59,284 --> 00:12:00,276 PROFESSOR: Sure. 324 00:12:00,276 --> 00:12:02,650 To prove that good design does not have to be innovative. 325 00:12:02,650 --> 00:12:06,100 AUDIENCE: The one you just showed us? 326 00:12:06,100 --> 00:12:08,780 PROFESSOR: So you're saying that this was not 327 00:12:08,780 --> 00:12:10,754 an innovation over this? 328 00:12:10,754 --> 00:12:11,920 AUDIENCE: Well, parts of it. 329 00:12:11,920 --> 00:12:13,120 PROFESSOR: Part of it. 330 00:12:13,120 --> 00:12:15,150 What part? 331 00:12:15,150 --> 00:12:16,290 AUDIENCE: The way it looks. 332 00:12:16,290 --> 00:12:17,520 PROFESSOR: Is innovative? 333 00:12:17,520 --> 00:12:18,213 Or not innovate? 334 00:12:21,310 --> 00:12:24,220 AUDIENCE: Not if you're comparing it to the other one. 335 00:12:24,220 --> 00:12:25,400 PROFESSOR: How come? 336 00:12:25,400 --> 00:12:27,000 This is made of plastic. 337 00:12:27,000 --> 00:12:28,650 This has different kinds of plastic. 338 00:12:28,650 --> 00:12:30,340 It's got a screen on it. 339 00:12:30,340 --> 00:12:32,405 It's got four buttons on the outside. 340 00:12:32,405 --> 00:12:34,530 It's got headphones that are attached to it instead 341 00:12:34,530 --> 00:12:37,560 of using a speaker. 342 00:12:37,560 --> 00:12:39,624 You think it's too similar? 343 00:12:39,624 --> 00:12:41,665 AUDIENCE: No, I'm saying that it's as innovative. 344 00:12:41,665 --> 00:12:43,748 I think it doesn't have to be extremely innovative 345 00:12:43,748 --> 00:12:45,570 because I'm saying they look very similar. 346 00:12:45,570 --> 00:12:48,695 There are innovations but they're not drastic. 347 00:12:48,695 --> 00:12:50,320 PROFESSOR: Would you say an iPod is not 348 00:12:50,320 --> 00:12:52,340 a drastic innovation over a radio? 349 00:12:52,340 --> 00:12:54,580 AUDIENCE: Yes, I'm saying it is, but I'm 350 00:12:54,580 --> 00:12:56,400 saying the physical appearance of it. 351 00:12:56,400 --> 00:12:57,816 PROFESSOR: The physical appearance 352 00:12:57,816 --> 00:12:59,480 may not be innovative. 353 00:12:59,480 --> 00:13:00,230 Other examples? 354 00:13:00,230 --> 00:13:03,890 I'm going to bring this other slide back up. 355 00:13:03,890 --> 00:13:04,882 Yes. 356 00:13:04,882 --> 00:13:06,507 AUDIENCE: Some of the things that we've 357 00:13:06,507 --> 00:13:10,338 been using since forever, like a bowl or something-- 358 00:13:10,338 --> 00:13:12,830 it's really basic but I think it's good design. 359 00:13:12,830 --> 00:13:14,702 PROFESSOR: A bowl is a good design. 360 00:13:14,702 --> 00:13:16,655 But if someone made a new bowl-- 361 00:13:18,912 --> 00:13:20,370 AUDIENCE: It could be a good design 362 00:13:20,370 --> 00:13:23,800 and innovate but I don't think it's required. 363 00:13:23,800 --> 00:13:25,540 PROFESSOR: You don't it's required? 364 00:13:25,540 --> 00:13:29,420 So a new bowl doesn't have to be innovative to be well designed 365 00:13:29,420 --> 00:13:30,650 or to be a good design. 366 00:13:30,650 --> 00:13:31,613 That's interesting. 367 00:13:31,613 --> 00:13:33,585 AUDIENCE: To go back to the last example, 368 00:13:33,585 --> 00:13:35,557 innovation also depends on the context 369 00:13:35,557 --> 00:13:37,040 when you're looking at the design. 370 00:13:37,040 --> 00:13:38,190 PROFESSOR: What do you mean the context 371 00:13:38,190 --> 00:13:39,250 in looking at the design? 372 00:13:39,250 --> 00:13:40,490 What do you mean it depends on the context? 373 00:13:40,490 --> 00:13:42,531 AUDIENCE: So right now, before I saw Dieter Rams, 374 00:13:42,531 --> 00:13:44,837 I was of the opposite position of Johnny Ives. 375 00:13:44,837 --> 00:13:47,252 But now I that I see a different context, maybe I see 376 00:13:47,252 --> 00:13:49,312 [INAUDIBLE] 377 00:13:49,312 --> 00:13:50,270 PROFESSOR: Interesting. 378 00:13:50,270 --> 00:13:51,061 That's interesting. 379 00:13:51,061 --> 00:13:52,280 Context. 380 00:13:52,280 --> 00:13:53,620 What do you mean context, now? 381 00:13:53,620 --> 00:13:55,817 What's your context? 382 00:13:55,817 --> 00:13:58,150 AUDIENCE: It's what I know about those kinds of designs. 383 00:13:58,150 --> 00:13:59,620 PROFESSOR: It's what you know. 384 00:13:59,620 --> 00:14:01,262 Context about what you know. 385 00:14:01,262 --> 00:14:04,015 Could it be something else as well? 386 00:14:04,015 --> 00:14:05,665 AUDIENCE: Context of similar designs 387 00:14:05,665 --> 00:14:07,480 and their past designs related to that. 388 00:14:07,480 --> 00:14:09,680 PROFESSOR: A broader context. 389 00:14:09,680 --> 00:14:11,065 What else? 390 00:14:11,065 --> 00:14:11,565 Yes. 391 00:14:11,565 --> 00:14:14,065 AUDIENCE: I would have to argue that this design is innovate 392 00:14:14,065 --> 00:14:17,052 because if a design is very good, then there is no reason 393 00:14:17,052 --> 00:14:18,480 you want to improve it. 394 00:14:18,480 --> 00:14:20,700 PROFESSOR: If a design is very good if there's no? 395 00:14:20,700 --> 00:14:21,670 AUDIENCE: There's no reason to improve it. 396 00:14:21,670 --> 00:14:23,010 PROFESSOR: No reason to improve it. 397 00:14:23,010 --> 00:14:24,390 AUDIENCE: If you come up with something that's 398 00:14:24,390 --> 00:14:26,290 good than from what is was before 399 00:14:26,290 --> 00:14:29,479 and it's selling well then there's 400 00:14:29,479 --> 00:14:30,520 clearly some improvement. 401 00:14:30,520 --> 00:14:33,460 PROFESSOR: She said if you have a new product 402 00:14:33,460 --> 00:14:35,620 and it's selling well then there's 403 00:14:35,620 --> 00:14:36,920 clearly some improvement. 404 00:14:36,920 --> 00:14:38,950 What if it's not selling so well? 405 00:14:38,950 --> 00:14:40,162 Could it be innovative? 406 00:14:40,162 --> 00:14:41,703 AUDIENCE: It could also be innovative 407 00:14:41,703 --> 00:14:45,464 because I think the innovation is defined-- well, not defined, 408 00:14:45,464 --> 00:14:50,007 but it about when you decide that needs to be redesigned. 409 00:14:50,007 --> 00:14:51,590 PROFESSOR: Innovation comes about when 410 00:14:51,590 --> 00:14:53,040 you decide it needs to be redesigned. 411 00:14:53,040 --> 00:14:53,540 Interesting. 412 00:14:57,250 --> 00:14:59,800 Other ideas? 413 00:14:59,800 --> 00:15:01,850 I think context is very interesting here 414 00:15:01,850 --> 00:15:04,490 and a little unusual. 415 00:15:04,490 --> 00:15:08,570 Context-- we look at the world in a certain way. 416 00:15:08,570 --> 00:15:12,460 By a show of hands here, who thinks 417 00:15:12,460 --> 00:15:16,300 that their hairstyle looks ridiculous? 418 00:15:16,300 --> 00:15:20,230 There are no hands that went up. 419 00:15:20,230 --> 00:15:23,090 Who here thinks that people whose-- they see pictures 420 00:15:23,090 --> 00:15:26,860 of people from the '80s have ridiculous hairstyles? 421 00:15:26,860 --> 00:15:28,270 Yeah, a lot more hands go up now. 422 00:15:28,270 --> 00:15:30,450 How about the '70s? 423 00:15:30,450 --> 00:15:33,166 So you don't think that in 20 years you're going to look back 424 00:15:33,166 --> 00:15:35,790 at pictures of yourself and go, I cannot believe my hair looked 425 00:15:35,790 --> 00:15:38,140 like that? 426 00:15:38,140 --> 00:15:39,580 Context, right? 427 00:15:39,580 --> 00:15:41,950 Context of our society. 428 00:15:41,950 --> 00:15:45,025 Angel goes, no way, his hair looks great. 429 00:15:45,025 --> 00:15:45,650 That's awesome. 430 00:15:45,650 --> 00:15:46,899 I'm always keeping this thing. 431 00:15:46,899 --> 00:15:48,010 And he may. 432 00:15:48,010 --> 00:15:49,706 He may keep that. 433 00:15:49,706 --> 00:15:51,830 Some things are a little more timeless than others. 434 00:15:51,830 --> 00:15:55,660 Do you know something interesting about art forgery? 435 00:15:55,660 --> 00:15:57,410 Anyone know a lot about art forgery? 436 00:15:57,410 --> 00:16:01,010 So if there's a piece of art from the-- let's say, 437 00:16:01,010 --> 00:16:05,860 early 1800s-- and let's suppose it's now 1920. 438 00:16:05,860 --> 00:16:11,070 And I have hired Jacob to forge a piece of art-- 439 00:16:11,070 --> 00:16:12,920 he's a great art forger. 440 00:16:12,920 --> 00:16:16,570 Well, if he's great, at the time when they had these forgeries, 441 00:16:16,570 --> 00:16:19,990 you wouldn't be able to tell that it was a forgery. 442 00:16:22,710 --> 00:16:27,290 But 30, 40, 50 years later, you say, oh, that's the forgery. 443 00:16:27,290 --> 00:16:28,540 I can tell. 444 00:16:28,540 --> 00:16:32,410 Because unconsciously, Jacob sees the world around him 445 00:16:32,410 --> 00:16:37,040 and he begins to put in elements of contemporary design 446 00:16:37,040 --> 00:16:38,500 into that piece. 447 00:16:38,500 --> 00:16:41,720 And 50 years later, the context has changed, 448 00:16:41,720 --> 00:16:42,670 and you can see it. 449 00:16:42,670 --> 00:16:45,330 You can see the stuff in there. 450 00:16:45,330 --> 00:16:47,380 You can see those differences and everything 451 00:16:47,380 --> 00:16:49,750 he's done to balance out all the small differences. 452 00:16:49,750 --> 00:16:52,070 And it looks like a forgery. 453 00:16:52,070 --> 00:16:53,780 It's pretty amazing. 454 00:16:53,780 --> 00:16:55,037 So maybe this is true. 455 00:16:55,037 --> 00:16:55,870 Maybe it's not true. 456 00:16:55,870 --> 00:16:56,390 How about this one? 457 00:16:56,390 --> 00:16:57,848 Good design makes a product useful. 458 00:16:57,848 --> 00:17:00,330 Is that true? 459 00:17:00,330 --> 00:17:02,950 Who thinks it's not true? 460 00:17:02,950 --> 00:17:04,970 Who thinks it is true? 461 00:17:04,970 --> 00:17:06,020 What does it mean? 462 00:17:06,020 --> 00:17:08,506 What does it mean to be useful? 463 00:17:08,506 --> 00:17:10,256 I want to know what it means to be useful. 464 00:17:10,256 --> 00:17:11,484 AUDIENCE: Satifies a need. 465 00:17:11,484 --> 00:17:12,650 PROFESSOR: Satisfies a need. 466 00:17:16,530 --> 00:17:19,286 Tell me more about that. 467 00:17:19,286 --> 00:17:19,869 What's a need? 468 00:17:23,140 --> 00:17:30,030 Do I need to listen to all my music wherever I am? 469 00:17:30,030 --> 00:17:32,270 I kind of need to. 470 00:17:32,270 --> 00:17:34,820 I get bored easily. 471 00:17:34,820 --> 00:17:37,050 Satisfies a need or maybe something 472 00:17:37,050 --> 00:17:39,420 less serious than a need. 473 00:17:39,420 --> 00:17:41,570 AUDIENCE: If it adds value. 474 00:17:41,570 --> 00:17:43,139 PROFESSOR: Adds value. 475 00:17:43,139 --> 00:17:44,430 What does it mean to add value? 476 00:17:44,430 --> 00:17:45,275 What is value? 477 00:17:49,860 --> 00:17:50,400 Any ideas? 478 00:17:50,400 --> 00:17:52,368 Anyone? 479 00:17:52,368 --> 00:17:54,340 AUDIENCE: Performs an action efficiently. 480 00:17:54,340 --> 00:17:57,016 PROFESSOR: Performs an action efficiently. 481 00:17:57,016 --> 00:17:59,040 Does art perform an action efficiently? 482 00:18:02,330 --> 00:18:04,516 AUDIENCE: It depends on how if art is useful. 483 00:18:04,516 --> 00:18:05,390 PROFESSOR: Well, yes. 484 00:18:05,390 --> 00:18:06,020 Is art useful? 485 00:18:06,020 --> 00:18:06,780 I don't know. 486 00:18:06,780 --> 00:18:07,630 Is art design? 487 00:18:07,630 --> 00:18:09,380 Oh, different topic. 488 00:18:09,380 --> 00:18:12,370 Reserved for a different day. 489 00:18:12,370 --> 00:18:13,095 What else? 490 00:18:13,095 --> 00:18:14,970 AUDIENCE: It does what it was designed to do. 491 00:18:14,970 --> 00:18:16,053 PROFESSOR: Designed to do. 492 00:18:16,053 --> 00:18:17,559 It does what it was designed to do. 493 00:18:17,559 --> 00:18:19,100 So good design makes a product useful 494 00:18:19,100 --> 00:18:22,800 because it's doing what it's supposed to do. 495 00:18:22,800 --> 00:18:25,129 It has fulfilled its intended purpose. 496 00:18:25,129 --> 00:18:28,552 AUDIENCE: I think I'd like to argue that because I think 497 00:18:28,552 --> 00:18:32,464 that you could have a useful product that has a purpose that 498 00:18:32,464 --> 00:18:34,460 wasn't intended by the manufacturer. 499 00:18:34,460 --> 00:18:36,350 PROFESSOR: A useful product whose purpose 500 00:18:36,350 --> 00:18:38,750 was not intended by the manufacturer. 501 00:18:38,750 --> 00:18:39,738 Let's consider this. 502 00:18:42,880 --> 00:18:44,940 This is risky. 503 00:18:44,940 --> 00:18:49,850 This is a brand new Apple Macintosh Retina Display 504 00:18:49,850 --> 00:18:54,940 MacBook Pro which I'm going to use as a door stop. 505 00:18:57,560 --> 00:18:58,200 Oh, yeah. 506 00:19:03,410 --> 00:19:03,940 Not int-- 507 00:19:03,940 --> 00:19:09,140 [LAUGHTER] 508 00:19:09,140 --> 00:19:11,527 Can we get a close up on that one? 509 00:19:11,527 --> 00:19:12,610 Can we see this over here? 510 00:19:12,610 --> 00:19:14,318 I don't know if you can see it down here. 511 00:19:14,318 --> 00:19:16,900 This is my pride and joy here being used as a door stop. 512 00:19:16,900 --> 00:19:19,760 Not intended by the manufacturer. 513 00:19:19,760 --> 00:19:21,850 Pretty useful if we need to prop open the door 514 00:19:21,850 --> 00:19:25,190 I suppose I could prop it open. 515 00:19:25,190 --> 00:19:27,360 Oh god, that scraping sound sounds terrible. 516 00:19:30,590 --> 00:19:31,920 Anything for you guys. 517 00:19:31,920 --> 00:19:32,550 Anything. 518 00:19:32,550 --> 00:19:35,200 So look how nice it props the door open 519 00:19:35,200 --> 00:19:36,700 if we didn't have something else. 520 00:19:36,700 --> 00:19:38,850 Again, not intended by the manufacturer 521 00:19:38,850 --> 00:19:41,583 who had to work on the tolerances of this device. 522 00:19:48,950 --> 00:19:50,700 So that's interesting. 523 00:19:53,320 --> 00:19:56,730 What if it didn't performance its intended action 524 00:19:56,730 --> 00:19:58,539 and I found a new use for it? 525 00:19:58,539 --> 00:19:59,330 Is it still useful? 526 00:20:02,546 --> 00:20:05,680 I could have an Acer or something that I would think-- 527 00:20:05,680 --> 00:20:08,127 or maybe a five-year-old Acer that's very, very slow 528 00:20:08,127 --> 00:20:10,710 and doesn't work very well and I need to get rid of it anyway. 529 00:20:10,710 --> 00:20:11,200 And it's broke. 530 00:20:11,200 --> 00:20:11,910 It's falling apart. 531 00:20:11,910 --> 00:20:14,368 And the screen-- every time I move it the screen falls off. 532 00:20:14,368 --> 00:20:17,000 And I can take it and make it a very useful doorstep. 533 00:20:17,000 --> 00:20:19,622 Not its intended purpose at all. 534 00:20:19,622 --> 00:20:22,110 AUDIENCE: I still don't think that it's a good design just 535 00:20:22,110 --> 00:20:25,577 because it has a use, though, because you used it as a door 536 00:20:25,577 --> 00:20:29,074 stop but I still don't think that is one of the best 537 00:20:29,074 --> 00:20:30,120 choices for a door stop. 538 00:20:30,120 --> 00:20:31,170 PROFESSOR: You don't think it's the best choice for a door 539 00:20:31,170 --> 00:20:31,670 stop? 540 00:20:31,670 --> 00:20:34,230 I think it's a beautiful door stop. 541 00:20:34,230 --> 00:20:35,626 Maybe the MacBook Air is better. 542 00:20:35,626 --> 00:20:36,375 It's wedge shaped. 543 00:20:38,843 --> 00:20:40,676 AUDIENCE: I think the connotations of design 544 00:20:40,676 --> 00:20:41,770 is purposeful. 545 00:20:41,770 --> 00:20:45,005 So if you use it for an unintended use, 546 00:20:45,005 --> 00:20:47,460 I don't think it's considered a good thing. 547 00:20:47,460 --> 00:20:48,330 PROFESSOR: If I use it for an unintended use, 548 00:20:48,330 --> 00:20:49,340 it's not good design. 549 00:20:49,340 --> 00:20:50,576 Why not? 550 00:20:50,576 --> 00:20:52,492 AUDIENCE: Because when a designer is designing 551 00:20:52,492 --> 00:20:54,325 a product, they have a specific use in mind. 552 00:20:54,325 --> 00:20:56,000 And they're trying to achieve that goal. 553 00:20:56,000 --> 00:21:00,517 If they don't achieve that goal and then achieve another goal-- 554 00:21:00,517 --> 00:21:03,100 PROFESSOR: What if they achieve something far better, far more 555 00:21:03,100 --> 00:21:04,540 noble, far more incredible? 556 00:21:04,540 --> 00:21:05,980 AUDIENCE: That's not what they were trying to do. 557 00:21:05,980 --> 00:21:07,730 PROFESSOR: I know but is it good anyway? 558 00:21:07,730 --> 00:21:09,620 Does it matter what the intent is is the question. 559 00:21:09,620 --> 00:21:11,411 AUDIENCE: I think it does matter what the-- 560 00:21:11,411 --> 00:21:13,210 PROFESSOR: You think intent matters. 561 00:21:13,210 --> 00:21:16,160 Who thinks intent matters? 562 00:21:16,160 --> 00:21:18,250 Who thinks intent does not matter? 563 00:21:18,250 --> 00:21:19,900 Who's unsure about this? 564 00:21:19,900 --> 00:21:20,467 Oh, yes. 565 00:21:20,467 --> 00:21:22,300 This would be good for a later conversation. 566 00:21:22,300 --> 00:21:23,180 Let's consider this. 567 00:21:23,180 --> 00:21:23,990 Good design-- now know we're getting 568 00:21:23,990 --> 00:21:25,156 really crazy-- is aesthetic. 569 00:21:25,156 --> 00:21:27,446 What does it mean to be aesthetic? 570 00:21:27,446 --> 00:21:29,320 [AUDIENCE MEMBERS RESPONDING SIMULTANEOUSLY] 571 00:21:29,320 --> 00:21:30,890 PROFESSOR: Pleasing. 572 00:21:30,890 --> 00:21:33,870 Pleasing in what way? 573 00:21:33,870 --> 00:21:34,760 AUDIENCE: Visually. 574 00:21:34,760 --> 00:21:37,099 PROFESSOR: Visually pleasing. 575 00:21:37,099 --> 00:21:38,580 AUDIENCE: All ways. 576 00:21:38,580 --> 00:21:41,110 PROFESSOR: What? 577 00:21:41,110 --> 00:21:42,467 AUDIENCE: All ways, 578 00:21:42,467 --> 00:21:44,050 PROFESSOR: Pleasing in other ways too. 579 00:21:44,050 --> 00:21:46,850 Not just visually but auditorily pleasing. 580 00:21:46,850 --> 00:21:51,076 Maybe the smell of a new car. 581 00:21:51,076 --> 00:21:52,520 You don't think they work on that? 582 00:21:52,520 --> 00:21:54,000 Oh, they work on that. 583 00:21:54,000 --> 00:21:55,892 In fact, Mercedes once was having 584 00:21:55,892 --> 00:21:57,850 an issue with some cars because it didn't quite 585 00:21:57,850 --> 00:21:59,900 have that Mercedes smell. 586 00:21:59,900 --> 00:22:01,250 So they hired a nose. 587 00:22:01,250 --> 00:22:02,910 Anyone knows what a nose is? 588 00:22:02,910 --> 00:22:05,003 It's a person who smells really well. 589 00:22:05,003 --> 00:22:06,586 And it's about one in-- I don't know-- 590 00:22:06,586 --> 00:22:08,919 100,000 people or 500,000 people or a million people who 591 00:22:08,919 --> 00:22:10,910 have this great ability to smell things well. 592 00:22:10,910 --> 00:22:12,119 And the nose went to the car. 593 00:22:12,119 --> 00:22:13,076 And they took this car. 594 00:22:13,076 --> 00:22:15,590 They shipped it from wherever the car person, owner was. 595 00:22:15,590 --> 00:22:16,580 They gave her a different car. 596 00:22:16,580 --> 00:22:17,455 They shipped it down. 597 00:22:17,455 --> 00:22:20,870 And she [SNIFFING] smelled all around the car. 598 00:22:20,870 --> 00:22:22,560 Then she went, door, take the door off. 599 00:22:22,560 --> 00:22:23,268 And the went, OK. 600 00:22:23,268 --> 00:22:24,429 They stripped the door off. 601 00:22:24,429 --> 00:22:25,720 She's smelling around the door. 602 00:22:25,720 --> 00:22:27,080 She said take this panel off the door. 603 00:22:27,080 --> 00:22:28,240 They took the panel off the door. 604 00:22:28,240 --> 00:22:29,739 She's smelling and goes, this is it. 605 00:22:29,739 --> 00:22:32,540 This is the problem right here, in the door. 606 00:22:32,540 --> 00:22:34,300 It was the insulation. 607 00:22:34,300 --> 00:22:35,980 And they went to the insulation people. 608 00:22:35,980 --> 00:22:37,580 They said, what did you do to our insulation. 609 00:22:37,580 --> 00:22:38,960 They said, we didn't do anything to the insulation. 610 00:22:38,960 --> 00:22:39,950 Show us what happened. 611 00:22:39,950 --> 00:22:40,750 And they found out. 612 00:22:40,750 --> 00:22:43,920 In one part of this process, really early on, the insulation 613 00:22:43,920 --> 00:22:49,170 had been stored in sacks that had once stored tea. 614 00:22:49,170 --> 00:22:51,180 Oh, yeah. 615 00:22:51,180 --> 00:22:54,710 That new car smell, very important. 616 00:22:54,710 --> 00:22:56,380 So good design is aesthetic. 617 00:22:56,380 --> 00:22:59,180 Who thinks this is true that good design must be aesthetic? 618 00:23:01,609 --> 00:23:03,650 AUDIENCE: It's something that you're going to use 619 00:23:03,650 --> 00:23:07,130 and you want it to be pleasing in every sense of the word. 620 00:23:07,130 --> 00:23:07,430 PROFESSOR: You want it to be pleasing 621 00:23:07,430 --> 00:23:08,555 in every sense of the word? 622 00:23:08,555 --> 00:23:10,520 Who thinks it's not true? 623 00:23:10,520 --> 00:23:11,417 Tell us why. 624 00:23:11,417 --> 00:23:13,875 AUDIENCE: If you look at the inside of a motor or something 625 00:23:13,875 --> 00:23:16,041 that people aren't going to look at I feel like what 626 00:23:16,041 --> 00:23:18,240 it physically appears like does not matter. 627 00:23:18,240 --> 00:23:18,420 PROFESSOR: Great. 628 00:23:18,420 --> 00:23:20,450 So you're saying if you look at the inside of a motor people 629 00:23:20,450 --> 00:23:21,090 where people aren't going to look, 630 00:23:21,090 --> 00:23:22,970 you think it doesn't matter? 631 00:23:22,970 --> 00:23:25,940 There's a company that disagrees with this philosophy. 632 00:23:25,940 --> 00:23:28,894 And this company is called Apple. 633 00:23:28,894 --> 00:23:30,310 I bring up a lot of Apple examples 634 00:23:30,310 --> 00:23:31,120 because I happen to know them. 635 00:23:31,120 --> 00:23:32,494 And I think it's very interesting 636 00:23:32,494 --> 00:23:34,695 because we are all familiar with them. 637 00:23:34,695 --> 00:23:36,070 Apple does something interesting. 638 00:23:36,070 --> 00:23:39,910 With the inside of an iPhone, if you-- I'm not going to take it 639 00:23:39,910 --> 00:23:42,480 apart-- I'll do a lot. 640 00:23:42,480 --> 00:23:44,790 But if you take the iPhone apart, 641 00:23:44,790 --> 00:23:47,200 everything there matches a certain color chart 642 00:23:47,200 --> 00:23:48,120 that they have. 643 00:23:48,120 --> 00:23:49,225 They have a color chart. 644 00:23:49,225 --> 00:23:50,850 And if it doesn't match the color chart 645 00:23:50,850 --> 00:23:55,470 it doesn't go inside there because they believe 646 00:23:55,470 --> 00:23:58,040 if you start cheating on the inside, 647 00:23:58,040 --> 00:24:00,000 it'll begin to leak out. 648 00:24:00,000 --> 00:24:01,890 And that cheating will become revealed 649 00:24:01,890 --> 00:24:04,290 on the outside of the design. 650 00:24:04,290 --> 00:24:07,240 They think the parts that you never see are still important. 651 00:24:07,240 --> 00:24:09,540 When the Macintosh first came out-- 652 00:24:09,540 --> 00:24:11,340 it was a big object like this. 653 00:24:11,340 --> 00:24:13,350 A little small display. 654 00:24:13,350 --> 00:24:15,784 And if you were able to open it-- 655 00:24:15,784 --> 00:24:17,200 and it was only meant to be opened 656 00:24:17,200 --> 00:24:19,782 by professionals who are in the shop. 657 00:24:19,782 --> 00:24:21,740 You weren't meant to open it because of the CRT 658 00:24:21,740 --> 00:24:24,186 and it can be a very high voltage there. 659 00:24:24,186 --> 00:24:25,685 You open it and take it off the back 660 00:24:25,685 --> 00:24:28,310 and inside is a relief of everyone's signature 661 00:24:28,310 --> 00:24:31,555 who worked on that product, inside that, 662 00:24:31,555 --> 00:24:33,170 that no consumer was meant to see. 663 00:24:35,730 --> 00:24:38,810 Do you still think it's unimportant? 664 00:24:38,810 --> 00:24:41,745 AUDIENCE: I feel like what makes a good design would 665 00:24:41,745 --> 00:24:42,460 be other factors. 666 00:24:42,460 --> 00:24:43,950 PROFESSOR: Other factors. 667 00:24:43,950 --> 00:24:45,192 OK. 668 00:24:45,192 --> 00:24:47,192 AUDIENCE: If you're talking about like an engine 669 00:24:47,192 --> 00:24:50,380 or something would you count the sound of it as aesthetic? 670 00:24:50,380 --> 00:24:53,580 PROFESSOR: I would count the sound of an engine 671 00:24:53,580 --> 00:24:54,200 as aesthetic. 672 00:24:54,200 --> 00:24:55,650 Absolutely. 673 00:24:55,650 --> 00:24:58,338 AUDIENCE: So I want a car that sounds like an angry weasel. 674 00:24:58,338 --> 00:24:59,240 [LAUGHTER] 675 00:24:59,240 --> 00:25:01,420 PROFESSOR: You want your car to sound a certain way. 676 00:25:01,420 --> 00:25:04,120 People say, oh, the roar of the car. 677 00:25:04,120 --> 00:25:06,535 The roar of that V8 engine, they say. 678 00:25:06,535 --> 00:25:09,910 Or that distinctive Porsche sound they talk about. 679 00:25:09,910 --> 00:25:10,460 Absolutely. 680 00:25:10,460 --> 00:25:11,709 Think of the sound of the car. 681 00:25:15,020 --> 00:25:16,985 Good design helps us to understand a product. 682 00:25:16,985 --> 00:25:19,370 Who thinks this is true? 683 00:25:19,370 --> 00:25:21,560 Who thinks it's a lie? 684 00:25:21,560 --> 00:25:24,284 Who thinks it's not necessary? 685 00:25:24,284 --> 00:25:26,665 Good design helps to understand a product, no? 686 00:25:26,665 --> 00:25:27,540 We all agree on this. 687 00:25:27,540 --> 00:25:29,340 What does it mean to understand a product? 688 00:25:29,340 --> 00:25:34,346 How do I understand a paper cup or a bowl? 689 00:25:34,346 --> 00:25:36,564 AUDIENCE: Well, there's some cases in which you'll 690 00:25:36,564 --> 00:25:38,290 have something and people don't usually 691 00:25:38,290 --> 00:25:40,460 read manuals or anything like that. 692 00:25:40,460 --> 00:25:43,980 So the more intuitive you can make the design-- 693 00:25:43,980 --> 00:25:45,687 like make some spot for, no, this 694 00:25:45,687 --> 00:25:47,020 is clearly where your hand goes. 695 00:25:47,020 --> 00:25:47,940 PROFESSOR: Yes. 696 00:25:47,940 --> 00:25:48,618 Intuitive. 697 00:25:48,618 --> 00:25:49,993 Something where it's clear, where 698 00:25:49,993 --> 00:25:52,034 you know how to interact with it, engage with it. 699 00:25:54,570 --> 00:25:55,990 Good design is unobtrusive. 700 00:25:55,990 --> 00:25:58,610 What does it mean to be unobtrusive? 701 00:25:58,610 --> 00:26:00,818 What do you mean about good design being unobtrusive? 702 00:26:02,305 --> 00:26:03,680 AUDIENCE: Doesn't get in the way? 703 00:26:03,680 --> 00:26:05,096 PROFESSOR: Doesn't get in the way. 704 00:26:05,096 --> 00:26:06,700 Who thinks this is true? 705 00:26:06,700 --> 00:26:08,630 Who thinks this is not true? 706 00:26:08,630 --> 00:26:10,803 Can you give me an example? 707 00:26:10,803 --> 00:26:12,344 AUDIENCE: I think there are buildings 708 00:26:12,344 --> 00:26:14,657 that are very well designed and they're very obtrusive. 709 00:26:14,657 --> 00:26:16,115 PROFESSOR: Obtrusive buildings that 710 00:26:16,115 --> 00:26:18,160 are well designed but obtrusive. 711 00:26:18,160 --> 00:26:22,160 What does it mean in that context to be obtrusive? 712 00:26:22,160 --> 00:26:27,815 AUDIENCE: They can obstruct traffic, other buildings, 713 00:26:27,815 --> 00:26:28,810 other-- 714 00:26:28,810 --> 00:26:30,740 PROFESSOR: They could be obtrusive in terms 715 00:26:30,740 --> 00:26:32,404 of the visual line. 716 00:26:32,404 --> 00:26:33,820 Well some designs are interesting. 717 00:26:37,250 --> 00:26:41,740 This design is somewhat obtrusive, particularly 718 00:26:41,740 --> 00:26:44,314 when it's being used. 719 00:26:44,314 --> 00:26:46,230 If anyone here has ever been in an environment 720 00:26:46,230 --> 00:26:48,100 where someone pulled the fire alarm, 721 00:26:48,100 --> 00:26:52,020 you'll know how obtrusive a fire alarm can be. 722 00:26:52,020 --> 00:26:53,730 But it's pretty good because it needs 723 00:26:53,730 --> 00:26:55,660 to be at that time and not now, which 724 00:26:55,660 --> 00:26:59,368 is why it's trying to be a little bit more quiet. 725 00:26:59,368 --> 00:27:01,742 It could be even better maybe if we didn't see it at all. 726 00:27:01,742 --> 00:27:02,242 Maybe. 727 00:27:02,242 --> 00:27:02,960 I'm not sure. 728 00:27:02,960 --> 00:27:05,540 There must be a reason why they all have to be red. 729 00:27:05,540 --> 00:27:06,934 I don't know what that reason is. 730 00:27:06,934 --> 00:27:08,767 AUDIENCE: I don't think that premise applies 731 00:27:08,767 --> 00:27:11,177 when part of your design is to make something obtrusive. 732 00:27:11,177 --> 00:27:13,510 PROFESSOR: When do you want to make something obtrusive? 733 00:27:13,510 --> 00:27:14,220 Give me an example. 734 00:27:14,220 --> 00:27:15,320 AUDIENCE: When you have a fire alarm. 735 00:27:15,320 --> 00:27:16,820 PROFESSOR: Well we're trying to make 736 00:27:16,820 --> 00:27:18,320 it minimally obtrusive, right? 737 00:27:18,320 --> 00:27:19,611 They could've made it this big. 738 00:27:23,090 --> 00:27:25,607 It could be coming out of the wall. 739 00:27:25,607 --> 00:27:27,190 It could go off every hour just to let 740 00:27:27,190 --> 00:27:28,810 you know everything's cool. 741 00:27:32,620 --> 00:27:34,750 What if they made it half the size? 742 00:27:34,750 --> 00:27:36,600 Or they could make it even smaller. 743 00:27:36,600 --> 00:27:39,501 Wouldn't that be better? 744 00:27:39,501 --> 00:27:40,000 Maybe. 745 00:27:40,000 --> 00:27:41,294 OK. 746 00:27:41,294 --> 00:27:43,825 AUDIENCE: If you're Apple, yeah. 747 00:27:43,825 --> 00:27:45,200 PROFESSOR: Good design is honest. 748 00:27:45,200 --> 00:27:45,700 Whoa. 749 00:27:45,700 --> 00:27:48,349 What does it mean to be honest in your design? 750 00:27:48,349 --> 00:27:49,640 What does it mean to be honest? 751 00:27:49,640 --> 00:27:50,556 Good design is honest. 752 00:27:54,312 --> 00:27:55,975 AUDIENCE: If something looks like it's 753 00:27:55,975 --> 00:27:58,350 supposed to be doing a specific thing it shouldn't do something 754 00:27:58,350 --> 00:27:58,830 else. 755 00:27:58,830 --> 00:28:00,760 PROFESSOR: So something looks like it should do something, 756 00:28:00,760 --> 00:28:02,301 it shouldn't be doing something else. 757 00:28:02,301 --> 00:28:05,560 So I shouldn't walk up to this and say, oh, you 758 00:28:05,560 --> 00:28:07,570 got a beautiful door stop. 759 00:28:07,570 --> 00:28:11,340 I've been looking for a door stop all day. 760 00:28:11,340 --> 00:28:13,812 What else? 761 00:28:13,812 --> 00:28:15,520 AUDIENCE: If it promises to do something, 762 00:28:15,520 --> 00:28:16,519 it should do that thing. 763 00:28:16,519 --> 00:28:19,200 PROFESSOR: It should do the thing it promises to do. 764 00:28:19,200 --> 00:28:21,650 AUDIENCE: It should abide by all regulations and safety 765 00:28:21,650 --> 00:28:24,245 conditions so it doesn't hurt you in the process. 766 00:28:24,245 --> 00:28:24,870 PROFESSOR: Yes. 767 00:28:24,870 --> 00:28:25,703 It doesn't hurt you. 768 00:28:25,703 --> 00:28:27,414 It protects the user. 769 00:28:27,414 --> 00:28:29,289 AUDIENCE: Does that mean you should design it 770 00:28:29,289 --> 00:28:31,939 in an honest way, as in not steal the design from somebody? 771 00:28:31,939 --> 00:28:33,355 PROFESSOR: That's a good question. 772 00:28:33,355 --> 00:28:34,980 Should you design it in an honest ways, 773 00:28:34,980 --> 00:28:36,269 as in not steal the design? 774 00:28:36,269 --> 00:28:36,810 I don't know. 775 00:28:36,810 --> 00:28:37,726 We should ask Samsung. 776 00:28:40,495 --> 00:28:43,620 A little jab at that. 777 00:28:43,620 --> 00:28:44,496 It's a good question. 778 00:28:44,496 --> 00:28:46,620 AUDIENCE: I just don't know what it's referring to. 779 00:28:46,620 --> 00:28:48,010 PROFESSOR: I don't either. 780 00:28:48,010 --> 00:28:49,970 I think we can actually find out more information now about it. 781 00:28:49,970 --> 00:28:51,039 But it's a good question. 782 00:28:51,039 --> 00:28:52,330 What does it mean to be honest? 783 00:28:52,330 --> 00:28:53,720 It might mean that as well. 784 00:28:53,720 --> 00:28:57,830 It can mean a lot of things about what its intended use is. 785 00:28:57,830 --> 00:28:59,620 When I use it, does it do what it's 786 00:28:59,620 --> 00:29:03,078 supposed to do-- what it promises to do? 787 00:29:03,078 --> 00:29:05,790 AUDIENCE: It can also be adding more 788 00:29:05,790 --> 00:29:09,787 than it needs to be-- like making a gold hammer. 789 00:29:09,787 --> 00:29:10,745 PROFESSOR: Gold hammer. 790 00:29:10,745 --> 00:29:14,542 So that gold toothbrush that we saw from Napoleon. 791 00:29:14,542 --> 00:29:17,091 It may not be an honest design. 792 00:29:17,091 --> 00:29:17,840 Maybe it's silver. 793 00:29:17,840 --> 00:29:20,460 Silver toothbrush. 794 00:29:20,460 --> 00:29:23,440 Can we think of an example where this is not true? 795 00:29:23,440 --> 00:29:25,350 Where design is dishonest? 796 00:29:25,350 --> 00:29:27,610 Where you believe you could do something with it, 797 00:29:27,610 --> 00:29:31,357 but you can't and it's still good? 798 00:29:31,357 --> 00:29:33,190 AUDIENCE: For instance, there's iPhone cases 799 00:29:33,190 --> 00:29:34,575 that look like Game Boys. 800 00:29:34,575 --> 00:29:35,950 PROFESSOR: iPhone cases that look 801 00:29:35,950 --> 00:29:40,160 like Game Boys that make it not look like an iPhone. 802 00:29:40,160 --> 00:29:42,274 Is that dishonest? 803 00:29:42,274 --> 00:29:43,815 AUDIENCE: It might be dishonest but I 804 00:29:43,815 --> 00:29:45,673 think it's still good design. 805 00:29:45,673 --> 00:29:46,964 PROFESSOR: What about up there? 806 00:29:46,964 --> 00:29:49,807 AUDIENCE: [INAUDIBLE]. 807 00:29:49,807 --> 00:29:50,890 PROFESSOR: Little outlets. 808 00:29:50,890 --> 00:29:53,922 You can't figure out how to get this thing in til you turn it. 809 00:29:53,922 --> 00:29:54,630 Dishonest design. 810 00:29:54,630 --> 00:29:57,610 Who thinks that's a dishonest design? 811 00:29:57,610 --> 00:30:00,530 Who thinks it's an honest design anyway? 812 00:30:00,530 --> 00:30:01,147 Interesting. 813 00:30:01,147 --> 00:30:01,980 What about this one. 814 00:30:01,980 --> 00:30:05,930 What about childproof bottle caps? 815 00:30:05,930 --> 00:30:08,010 It looks like they could be opened, 816 00:30:08,010 --> 00:30:12,280 but if you are without the skill, strength, or intellect, 817 00:30:12,280 --> 00:30:15,610 then you won't be able to open this. 818 00:30:15,610 --> 00:30:18,450 Childproof bottle caps don't just affect children though. 819 00:30:18,450 --> 00:30:20,210 They can affect adults who simply don't have the strength 820 00:30:20,210 --> 00:30:22,960 to be able to open one of these things-- to push down and open. 821 00:30:22,960 --> 00:30:25,810 So they have other designs to get around that as well. 822 00:30:25,810 --> 00:30:28,105 But they're still a good design. 823 00:30:28,105 --> 00:30:30,370 But is that a bit dishonest? 824 00:30:30,370 --> 00:30:33,070 To give a whole population the idea that it can be opened, 825 00:30:33,070 --> 00:30:35,050 but you can't open it? 826 00:30:35,050 --> 00:30:36,650 I'm not sure. 827 00:30:36,650 --> 00:30:37,860 Good design is durable. 828 00:30:37,860 --> 00:30:39,193 What does it mean to be durable? 829 00:30:39,193 --> 00:30:42,500 What does it actually mean to be durable? 830 00:30:42,500 --> 00:30:45,839 For the design to be durable. 831 00:30:45,839 --> 00:30:47,255 AUDIENCE: It's not going to break. 832 00:30:47,255 --> 00:30:49,080 It's last. 833 00:30:49,080 --> 00:30:52,236 PROFESSOR: An object that will last a decent amount of time. 834 00:30:52,236 --> 00:30:55,082 AUDIENCE: I mean for the design to be timeless. 835 00:30:55,082 --> 00:30:56,790 PROFESSOR: For the design to be timeless. 836 00:30:56,790 --> 00:30:57,998 What do you mean by timeless? 837 00:30:57,998 --> 00:31:00,723 AUDIENCE: It means that five years from now it 838 00:31:00,723 --> 00:31:03,340 won't look antiquated and out of touch. 839 00:31:03,340 --> 00:31:05,280 PROFESSOR: So years from now, is it will still 840 00:31:05,280 --> 00:31:08,774 look fresh and new and novel contemporary. 841 00:31:08,774 --> 00:31:09,690 AUDIENCE: [INAUDIBLE]. 842 00:31:12,570 --> 00:31:15,790 PROFESSOR: The idea that this was the intended concept and it 843 00:31:15,790 --> 00:31:18,463 will still feel like it's appropriate. 844 00:31:18,463 --> 00:31:20,546 AUDIENCE: I feel like it's sort of difficult to do 845 00:31:20,546 --> 00:31:21,577 that though because-- 846 00:31:21,577 --> 00:31:22,410 PROFESSOR: Oh, yeah. 847 00:31:22,410 --> 00:31:24,324 Is it difficult? 848 00:31:24,324 --> 00:31:27,707 AUDIENCE: --people's ideas of what they want change a lot. 849 00:31:27,707 --> 00:31:29,290 PROFESSOR: You say that people's ideas 850 00:31:29,290 --> 00:31:30,350 of what they want change a lot. 851 00:31:30,350 --> 00:31:30,849 Tell us. 852 00:31:30,849 --> 00:31:34,103 AUDIENCE: Well, maybe not a lot, but if you look back 853 00:31:34,103 --> 00:31:37,695 at older shows that were predicting what the future was 854 00:31:37,695 --> 00:31:43,250 going to be like, they might be spot on with the technology, 855 00:31:43,250 --> 00:31:46,050 but the aesthetics of things-- we 856 00:31:46,050 --> 00:31:47,940 tend to have more rounded corners on things. 857 00:31:47,940 --> 00:31:49,960 We don't like the points as much anymore. 858 00:31:49,960 --> 00:31:52,840 Things like that, that people hadn't even considered back 859 00:31:52,840 --> 00:31:56,850 then, are just taken for granted now-- sort of. 860 00:31:56,850 --> 00:31:57,890 PROFESSOR: Interesting. 861 00:31:57,890 --> 00:31:59,348 AUDIENCE: Well, I mean, good design 862 00:31:59,348 --> 00:32:01,252 can be determined after the fact. 863 00:32:01,252 --> 00:32:02,984 Maybe when you make it, you don't 864 00:32:02,984 --> 00:32:04,108 know if it's a good design. 865 00:32:04,108 --> 00:32:06,942 And then after tastes change and you 866 00:32:06,942 --> 00:32:08,120 are 10 years down the road-- 867 00:32:08,120 --> 00:32:09,340 PROFESSOR: You're able to see if it's still 868 00:32:09,340 --> 00:32:11,550 a good, sustainable, relevant design later on. 869 00:32:11,550 --> 00:32:13,640 Interesting. 870 00:32:13,640 --> 00:32:19,360 Good design is consequent to the last detail. 871 00:32:19,360 --> 00:32:21,540 Who thinks it's true? 872 00:32:21,540 --> 00:32:23,330 Who thinks it's false? 873 00:32:23,330 --> 00:32:25,600 Who is unsure? 874 00:32:25,600 --> 00:32:28,370 Who did not vote? 875 00:32:28,370 --> 00:32:29,930 Let's try it again. 876 00:32:29,930 --> 00:32:33,550 Given your options, good design is-- Let's clarify 877 00:32:33,550 --> 00:32:35,540 what it means. 878 00:32:35,540 --> 00:32:37,830 My mistake here. 879 00:32:37,830 --> 00:32:41,234 What does it mean to be consequent to the last detail? 880 00:32:41,234 --> 00:32:44,276 AUDIENCE: Everything you put in the design has 881 00:32:44,276 --> 00:32:45,182 the intended effect. 882 00:32:45,182 --> 00:32:47,140 PROFESSOR: Everything you put in the design has 883 00:32:47,140 --> 00:32:47,780 the intended effect. 884 00:32:47,780 --> 00:32:48,280 Everything. 885 00:32:50,630 --> 00:32:54,440 If you were going to give me a written report-- 886 00:32:54,440 --> 00:32:58,390 a big one-- give me some aspects of that report 887 00:32:58,390 --> 00:33:02,588 that you'd be concerned about. 888 00:33:02,588 --> 00:33:04,689 AUDIENCE: Whether or not the content [INAUDIBLE] . 889 00:33:04,689 --> 00:33:05,480 PROFESSOR: Content. 890 00:33:05,480 --> 00:33:08,050 What else? 891 00:33:08,050 --> 00:33:08,930 AUDIENCE: Citations. 892 00:33:08,930 --> 00:33:09,805 PROFESSOR: Citations. 893 00:33:09,805 --> 00:33:10,490 What else? 894 00:33:10,490 --> 00:33:11,740 AUDIENCE: It's understandable. 895 00:33:11,740 --> 00:33:13,156 PROFESSOR: If it's understandable. 896 00:33:13,156 --> 00:33:13,770 Comprehension. 897 00:33:13,770 --> 00:33:14,630 AUDIENCE: Format. 898 00:33:14,630 --> 00:33:15,660 PROFESSOR: Format. 899 00:33:15,660 --> 00:33:17,192 So the-- 900 00:33:17,192 --> 00:33:18,120 AUDIENCE: Structure. 901 00:33:18,120 --> 00:33:19,161 PROFESSOR: The structure. 902 00:33:19,161 --> 00:33:19,704 What else? 903 00:33:19,704 --> 00:33:21,370 AUDIENCE: I was going to say the format. 904 00:33:21,370 --> 00:33:22,430 PROFESSOR: Format. 905 00:33:22,430 --> 00:33:23,217 What else? 906 00:33:23,217 --> 00:33:24,050 AUDIENCE: Font size. 907 00:33:24,050 --> 00:33:26,260 PROFESSOR: The font size. 908 00:33:26,260 --> 00:33:27,620 And therefore, what else? 909 00:33:27,620 --> 00:33:28,480 AUDIENCE: The font. 910 00:33:28,480 --> 00:33:29,581 PROFESSOR: The font. 911 00:33:29,581 --> 00:33:30,080 Absolutely. 912 00:33:30,080 --> 00:33:32,474 What else? 913 00:33:32,474 --> 00:33:34,410 AUDIENCE: Is it too wordy? 914 00:33:34,410 --> 00:33:35,732 PROFESSOR: Length of words. 915 00:33:35,732 --> 00:33:37,190 AUDIENCE: The paper it's on itself. 916 00:33:37,190 --> 00:33:38,520 PROFESSOR: The paper it's on itself. 917 00:33:38,520 --> 00:33:39,020 Absolutely. 918 00:33:39,020 --> 00:33:39,897 What else then? 919 00:33:39,897 --> 00:33:45,260 AUDIENCE: Does it fulfil the task and requirements? 920 00:33:45,260 --> 00:33:47,542 PROFESSOR: Does it fill the task and requirements? 921 00:33:47,542 --> 00:33:48,625 We talked about the paper. 922 00:33:48,625 --> 00:33:50,276 I heard something else here. 923 00:33:50,276 --> 00:33:51,400 AUDIENCE: Color of the ink. 924 00:33:51,400 --> 00:33:52,441 PROFESSOR: Color the ink. 925 00:33:52,441 --> 00:33:53,150 Absolutely. 926 00:33:53,150 --> 00:33:54,371 Color of the ink. 927 00:33:54,371 --> 00:33:56,920 AUDIENCE: When you present the paper-- like if it's bound. 928 00:33:56,920 --> 00:33:57,180 PROFESSOR: Yes. 929 00:33:57,180 --> 00:33:57,750 If it's bound. 930 00:33:57,750 --> 00:33:58,416 If it's stapled. 931 00:33:58,416 --> 00:33:59,780 How it's bound. 932 00:33:59,780 --> 00:34:02,742 All these things are details. 933 00:34:02,742 --> 00:34:03,950 Do you think they all matter? 934 00:34:03,950 --> 00:34:04,894 AUDIENCE: Yes. 935 00:34:04,894 --> 00:34:06,810 PROFESSOR: Who thinks if you take a paper that 936 00:34:06,810 --> 00:34:08,665 has brilliant content and a paper 937 00:34:08,665 --> 00:34:10,395 with the exact same content-- two 938 00:34:10,395 --> 00:34:12,020 of them with the same content-- and one 939 00:34:12,020 --> 00:34:15,241 is stapled in the corner and one is bound beautifully-- 940 00:34:15,241 --> 00:34:17,449 do you think that they will affect your grade at all? 941 00:34:17,449 --> 00:34:21,161 Who thinks it will not affect your grade? 942 00:34:21,161 --> 00:34:23,600 Who thinks it will affect your grade? 943 00:34:23,600 --> 00:34:24,170 That's good. 944 00:34:24,170 --> 00:34:26,129 Statistics show that it will affect your grade. 945 00:34:26,129 --> 00:34:28,669 Everyone who doesn't think that it doesn't affect your grade, 946 00:34:28,669 --> 00:34:30,929 you should make sure that your papers are well bound-- 947 00:34:30,929 --> 00:34:33,489 because it looks to someone else like you put more work 948 00:34:33,489 --> 00:34:35,360 and effort into it and that you believe 949 00:34:35,360 --> 00:34:38,514 more sincerely in your product. 950 00:34:38,514 --> 00:34:40,972 AUDIENCE: A lot of that depends on what the value system is 951 00:34:40,972 --> 00:34:43,084 that you're working on. 952 00:34:43,084 --> 00:34:44,584 If you don't actually have the money 953 00:34:44,584 --> 00:34:47,044 or you don't want to spend the money to bind that paper 954 00:34:47,044 --> 00:34:49,504 and you think that it's good enough on its own then maybe 955 00:34:49,504 --> 00:34:51,472 the best design isn't binding it. 956 00:34:51,472 --> 00:34:53,932 You might have a professor who doesn't care. 957 00:34:53,932 --> 00:34:57,040 Given it's on average you will score higher [INAUDIBLE]. 958 00:34:57,040 --> 00:34:57,790 PROFESSOR: So yes. 959 00:34:57,790 --> 00:35:00,590 You have a specific case where it doesn't matter. 960 00:35:00,590 --> 00:35:01,549 That's true. 961 00:35:01,549 --> 00:35:04,090 AUDIENCE: I think you're talking about high school teachers-- 962 00:35:04,090 --> 00:35:06,465 that probably doesn't apply-- but once you start going 963 00:35:06,465 --> 00:35:08,590 into college and you're looking at the true content 964 00:35:08,590 --> 00:35:09,320 of the paper-- 965 00:35:09,320 --> 00:35:10,600 PROFESSOR: You think it applies in high school 966 00:35:10,600 --> 00:35:11,300 but not in college. 967 00:35:11,300 --> 00:35:12,716 AUDIENCE: I think it applies less in college 968 00:35:12,716 --> 00:35:13,190 than it does in high school. 969 00:35:13,190 --> 00:35:15,500 PROFESSOR: I will tell you this is not true. 970 00:35:15,500 --> 00:35:17,150 I will tell you from firsthand. 971 00:35:17,150 --> 00:35:20,230 And when I get a paper-- and I know this to be true-- 972 00:35:20,230 --> 00:35:23,337 if anyone submits their midterm report-- 973 00:35:23,337 --> 00:35:25,170 their individual project-- and it is stapled 974 00:35:25,170 --> 00:35:28,030 in the upper left hand corner, you will with 100% certainly 975 00:35:28,030 --> 00:35:31,210 be dropping the class soon afterwards. 976 00:35:31,210 --> 00:35:33,374 I've seen it every single semester. 977 00:35:33,374 --> 00:35:35,290 Every semester, I'll get at least one person-- 978 00:35:35,290 --> 00:35:36,850 and I'll say, please do not do that-- 979 00:35:36,850 --> 00:35:38,986 and they will give it to me anyway bound like that. 980 00:35:38,986 --> 00:35:40,610 And I just suddenly have to count to 10 981 00:35:40,610 --> 00:35:42,060 before they drop the class. 982 00:35:42,060 --> 00:35:44,354 AUDIENCE: But do you ask them not to staple it? 983 00:35:44,354 --> 00:35:45,770 PROFESSOR: I say, please don't use 984 00:35:45,770 --> 00:35:47,630 a staple in the upper left hand corner. 985 00:35:47,630 --> 00:35:48,914 And they do it anyway. 986 00:35:48,914 --> 00:35:50,580 There's a high correlation between this. 987 00:35:50,580 --> 00:35:53,530 And teachers, when you get that beautifully bound thing, 988 00:35:53,530 --> 00:35:55,996 you think, wow, look how cool this is. 989 00:35:55,996 --> 00:35:57,620 If you could sit in those rooms, you'll 990 00:35:57,620 --> 00:35:58,780 think there is a difference. 991 00:35:58,780 --> 00:36:00,430 And of course, they will read the content as well. 992 00:36:00,430 --> 00:36:02,700 It's not that it's going to make up for bad content. 993 00:36:02,700 --> 00:36:04,870 But it shows a lot more strength and structure. 994 00:36:04,870 --> 00:36:06,870 And their brain will start focusing a little bit 995 00:36:06,870 --> 00:36:10,087 differently when they review that paper. 996 00:36:10,087 --> 00:36:11,420 Consequently to the last detail. 997 00:36:11,420 --> 00:36:15,300 Who thinks that good design is consequent to the last detail? 998 00:36:15,300 --> 00:36:18,110 Who thinks it is not? 999 00:36:18,110 --> 00:36:18,643 Why not? 1000 00:36:18,643 --> 00:36:20,476 AUDIENCE: Well, I mean, it's the same thing. 1001 00:36:20,476 --> 00:36:21,975 It's just like, you have to consider 1002 00:36:21,975 --> 00:36:23,410 what the audience will do. 1003 00:36:23,410 --> 00:36:25,619 You need to knowledge the value of that extra detail. 1004 00:36:25,619 --> 00:36:27,410 If they don't value it, like if you're just 1005 00:36:27,410 --> 00:36:30,011 trying to feed a lot of people and they're just incredibly 1006 00:36:30,011 --> 00:36:32,866 hungry-- if you are trying to feed a starving population, 1007 00:36:32,866 --> 00:36:34,657 they're not going to care that you seasoned 1008 00:36:34,657 --> 00:36:36,613 the food that you've made exactly perfectly. 1009 00:36:36,613 --> 00:36:38,080 They're going to care once they get something to eat 1010 00:36:38,080 --> 00:36:39,070 and they get more of it. 1011 00:36:39,070 --> 00:36:40,610 PROFESSOR: What if you could season it perfectly? 1012 00:36:40,610 --> 00:36:41,430 Would that be better design? 1013 00:36:41,430 --> 00:36:41,893 AUDIENCE: Well, that would be great, 1014 00:36:41,893 --> 00:36:43,392 but that's not the world we live in. 1015 00:36:43,392 --> 00:36:45,140 We live in a world with limitations 1016 00:36:45,140 --> 00:36:45,765 PROFESSOR: Yes. 1017 00:36:45,765 --> 00:36:47,030 We do live with limitations. 1018 00:36:47,030 --> 00:36:49,450 But the question I would ask you to think about 1019 00:36:49,450 --> 00:36:52,560 is when are those limitations real 1020 00:36:52,560 --> 00:36:55,820 and when do we impose them on ourselves unnecessarily? 1021 00:36:55,820 --> 00:37:00,730 When do we think, well, we can't do this, instead of thinking, 1022 00:37:00,730 --> 00:37:03,976 well, maybe we can't do this-- let's see if we can do it. 1023 00:37:03,976 --> 00:37:05,850 You'll find a tremendous amount of innovation 1024 00:37:05,850 --> 00:37:11,940 happens when we resolve the tension between what? 1025 00:37:11,940 --> 00:37:12,950 From last class. 1026 00:37:12,950 --> 00:37:15,254 AUDIENCE: From what we desire? 1027 00:37:15,254 --> 00:37:15,920 PROFESSOR: Yeah. 1028 00:37:15,920 --> 00:37:17,586 From what we desire and what we require. 1029 00:37:17,586 --> 00:37:19,580 If we can resolve these tensions, 1030 00:37:19,580 --> 00:37:22,020 that is where we get innovation. 1031 00:37:22,020 --> 00:37:23,404 Absolutely. 1032 00:37:23,404 --> 00:37:25,320 Good design is concerned with the environment. 1033 00:37:25,320 --> 00:37:26,070 What does it mean? 1034 00:37:32,251 --> 00:37:36,745 AUDIENCE: Good design doesn't neglect anything. 1035 00:37:36,745 --> 00:37:37,370 PROFESSOR: Yes. 1036 00:37:37,370 --> 00:37:40,550 Good design isn't just sitting in its own little vacuum. 1037 00:37:40,550 --> 00:37:43,700 It works within a whole system, a whole big context 1038 00:37:43,700 --> 00:37:45,850 of things, whether it's a physical environment, 1039 00:37:45,850 --> 00:37:50,350 a social environment, or, like the iPod player, 1040 00:37:50,350 --> 00:37:52,780 works with the iTunes Music Store. 1041 00:37:52,780 --> 00:37:56,440 It connects to other things. 1042 00:37:56,440 --> 00:37:59,860 Lastly, good design is as little design as possible. 1043 00:37:59,860 --> 00:38:02,850 What does that mean? 1044 00:38:02,850 --> 00:38:07,260 AUDIENCE: I think to use other things, 1045 00:38:07,260 --> 00:38:12,343 like how Apple used previous designs. 1046 00:38:12,343 --> 00:38:15,170 So maybe they didn't have to redesign that much. 1047 00:38:15,170 --> 00:38:17,200 PROFESSOR: So she's saying less design. 1048 00:38:17,200 --> 00:38:18,280 Not as much redesign. 1049 00:38:18,280 --> 00:38:19,867 What other interpretations do we have? 1050 00:38:19,867 --> 00:38:21,000 AUDIENCE: Keep it simple. 1051 00:38:21,000 --> 00:38:22,361 PROFESSOR: To keep it simple. 1052 00:38:22,361 --> 00:38:22,860 What else? 1053 00:38:25,906 --> 00:38:27,780 AUDIENCE: Going back to the example of Apple, 1054 00:38:27,780 --> 00:38:30,429 they try to limit the number of buttons that you have. 1055 00:38:30,429 --> 00:38:31,970 PROFESSOR: Try and limit our buttons. 1056 00:38:31,970 --> 00:38:32,469 Yes. 1057 00:38:32,469 --> 00:38:34,008 AUDIENCE: And also with the mouse. 1058 00:38:34,008 --> 00:38:35,750 Let's use the Magic Mouse for example. 1059 00:38:35,750 --> 00:38:38,030 There is no button like there are with other mice. 1060 00:38:38,030 --> 00:38:39,071 There aren't two buttons. 1061 00:38:39,071 --> 00:38:40,670 It's just one click that you use. 1062 00:38:40,670 --> 00:38:43,169 And it's very intuitive to how you're going to use it. 1063 00:38:43,169 --> 00:38:45,460 PROFESSOR: So a Magic Mouse has no buttons on it at all 1064 00:38:45,460 --> 00:38:48,259 and you can still click anyway. 1065 00:38:48,259 --> 00:38:49,550 And it knows what you're doing. 1066 00:38:49,550 --> 00:38:53,087 They're just trying to reduce that user experience. 1067 00:38:53,087 --> 00:38:54,795 But they had a lot more complexity inside 1068 00:38:54,795 --> 00:38:57,150 to figure out how to make that work. 1069 00:38:57,150 --> 00:38:58,522 What else? 1070 00:38:58,522 --> 00:39:01,746 AUDIENCE: I think the design is as little design 1071 00:39:01,746 --> 00:39:04,474 as possible as in off of previous designs, 1072 00:39:04,474 --> 00:39:05,922 like going back to Dieter Rams. 1073 00:39:05,922 --> 00:39:07,130 PROFESSOR: Dieter Rams' work. 1074 00:39:07,130 --> 00:39:07,640 Absolutely. 1075 00:39:07,640 --> 00:39:09,960 Where he's really trying to get that functionalist-- 1076 00:39:09,960 --> 00:39:12,501 let's think about the functions first and really build things 1077 00:39:12,501 --> 00:39:14,780 around in the simplest most streamlined, elegant way 1078 00:39:14,780 --> 00:39:16,550 possible. 1079 00:39:16,550 --> 00:39:18,075 I want to consider these steps. 1080 00:39:18,075 --> 00:39:20,700 Part of your homework will be to consider if these are all true 1081 00:39:20,700 --> 00:39:23,080 and reflect on them and see how they can be improved 1082 00:39:23,080 --> 00:39:24,624 and which ones are missing. 1083 00:39:24,624 --> 00:39:27,290 I bet you're going to be able to think of ones that are missing. 1084 00:39:31,130 --> 00:39:33,030 Design challenge. 1085 00:39:33,030 --> 00:39:34,890 Are you ready? 1086 00:39:34,890 --> 00:39:35,780 Are you ready? 1087 00:39:35,780 --> 00:39:37,420 AUDIENCE: Yes. 1088 00:39:37,420 --> 00:39:40,000 PROFESSOR: I'll take that. 1089 00:39:40,000 --> 00:39:40,647 Here we go. 1090 00:39:40,647 --> 00:39:41,230 Are you ready? 1091 00:39:45,400 --> 00:39:47,000 This is what you know. 1092 00:39:47,000 --> 00:39:47,790 The music stops. 1093 00:39:47,790 --> 00:39:49,400 A man is dead. 1094 00:39:49,400 --> 00:39:50,662 That's all you know. 1095 00:39:50,662 --> 00:39:53,580 You need to solve what happened and why did it happen. 1096 00:39:53,580 --> 00:39:55,000 And I will answer questions. 1097 00:39:55,000 --> 00:39:55,960 I will say, yes. 1098 00:39:55,960 --> 00:39:56,990 Or I will say, no. 1099 00:39:56,990 --> 00:40:00,220 Or I will say, Relevant. 1100 00:40:00,220 --> 00:40:02,640 That's what you get. 1101 00:40:02,640 --> 00:40:05,480 And we need to do this quickly. 1102 00:40:05,480 --> 00:40:05,980 Go. 1103 00:40:05,980 --> 00:40:08,000 AUDIENCE: Was the man listening to the music? 1104 00:40:08,000 --> 00:40:10,136 PROFESSOR: Yes. 1105 00:40:10,136 --> 00:40:11,440 AUDIENCE: Was he blindfolded? 1106 00:40:11,440 --> 00:40:14,100 PROFESSOR: Yes. 1107 00:40:14,100 --> 00:40:18,579 If you happen to know this particular question. 1108 00:40:18,579 --> 00:40:19,370 Was he blindfolded? 1109 00:40:19,370 --> 00:40:19,920 Yes. 1110 00:40:19,920 --> 00:40:22,160 AUDIENCE: Did he die because the music stopped? 1111 00:40:22,160 --> 00:40:24,160 PROFESSOR: Did he die because the music stopped? 1112 00:40:24,160 --> 00:40:25,778 No. 1113 00:40:25,778 --> 00:40:29,974 AUDIENCE: Is this a human man who actually died and was 1114 00:40:29,974 --> 00:40:31,912 living and then now is no longer living? 1115 00:40:31,912 --> 00:40:34,120 PROFESSOR: Was it a human man who died who was living 1116 00:40:34,120 --> 00:40:35,120 and is no longer living. 1117 00:40:35,120 --> 00:40:37,160 Yes. 1118 00:40:37,160 --> 00:40:39,100 AUDIENCE: Did the music give instructions? 1119 00:40:39,100 --> 00:40:40,891 PROFESSOR: Did the music give instructions? 1120 00:40:40,891 --> 00:40:42,252 No. 1121 00:40:42,252 --> 00:40:44,570 AUDIENCE: Did he die while the music was playing? 1122 00:40:44,570 --> 00:40:46,653 PROFESSOR: Did he die while the music was playing? 1123 00:40:46,653 --> 00:40:48,620 No. 1124 00:40:48,620 --> 00:40:50,110 AUDIENCE: Where'd this happen? 1125 00:40:50,110 --> 00:40:51,665 PROFESSOR: Where did this happen? 1126 00:40:51,665 --> 00:40:53,290 AUDIENCE MEMBER 1: Yes or no questions. 1127 00:40:55,914 --> 00:40:57,664 AUDIENCE MEMBER 2: Does the music stopping 1128 00:40:57,664 --> 00:41:01,080 coincide with the man's death? 1129 00:41:01,080 --> 00:41:03,867 PROFESSOR: The music stopped and coincided with the man's death. 1130 00:41:03,867 --> 00:41:04,700 What's the question? 1131 00:41:04,700 --> 00:41:08,892 AUDIENCE: Did the music coincide with the man's death? 1132 00:41:08,892 --> 00:41:10,850 PROFESSOR: I don't know how to answer that one. 1133 00:41:10,850 --> 00:41:13,220 Give me some more detail around the question. 1134 00:41:13,220 --> 00:41:15,290 AUDIENCE: Did they happen at the same time? 1135 00:41:15,290 --> 00:41:16,110 PROFESSOR: No. 1136 00:41:16,110 --> 00:41:17,485 Did they happen at the same time? 1137 00:41:17,485 --> 00:41:18,252 No. 1138 00:41:18,252 --> 00:41:19,370 AUDIENCE: Was he alone? 1139 00:41:19,370 --> 00:41:20,370 PROFESSOR: Was he alone? 1140 00:41:20,370 --> 00:41:21,460 No. 1141 00:41:21,460 --> 00:41:23,168 AUDIENCE: Did the music stopping indicate 1142 00:41:23,168 --> 00:41:24,293 something else is starting? 1143 00:41:24,293 --> 00:41:26,710 PROFESSOR: Did the music stopping indicate 1144 00:41:26,710 --> 00:41:27,935 something else is starting? 1145 00:41:44,925 --> 00:41:45,425 Yes. 1146 00:41:49,610 --> 00:41:51,560 AUDIENCE: Was the music playing in headphones? 1147 00:41:51,560 --> 00:41:53,518 PROFESSOR: Was the music playing in headphones? 1148 00:41:53,518 --> 00:41:54,947 No. 1149 00:41:54,947 --> 00:41:56,780 AUDIENCE: Did the music start in relation to 1150 00:41:56,780 --> 00:41:58,756 that the man was dead? 1151 00:41:58,756 --> 00:41:59,860 PROFESSOR: Did the music? 1152 00:41:59,860 --> 00:42:02,068 AUDIENCE: Did the music start in relation to the fact 1153 00:42:02,068 --> 00:42:03,180 that the man was dead? 1154 00:42:03,180 --> 00:42:05,513 PROFESSOR: Did the music start because the man was dead? 1155 00:42:05,513 --> 00:42:06,130 No. 1156 00:42:06,130 --> 00:42:06,796 The music stops. 1157 00:42:06,796 --> 00:42:09,260 The man is dead. 1158 00:42:09,260 --> 00:42:11,190 AUDIENCE: Did someone stop the music? 1159 00:42:11,190 --> 00:42:13,675 PROFESSOR: Did someone stop the music? 1160 00:42:13,675 --> 00:42:14,175 Irrelevant. 1161 00:42:17,652 --> 00:42:19,110 AUDIENCE: Did someone kill the man? 1162 00:42:19,110 --> 00:42:20,990 PROFESSOR: Did someone kill the man? 1163 00:42:20,990 --> 00:42:22,254 No. 1164 00:42:22,254 --> 00:42:25,207 AUDIENCE: Did the man have a preexisting condition? 1165 00:42:25,207 --> 00:42:27,290 PROFESSOR: Do the man have a preexisting condition 1166 00:42:27,290 --> 00:42:28,740 that was not covered under the health code? 1167 00:42:28,740 --> 00:42:29,239 No. 1168 00:42:29,239 --> 00:42:32,044 He did not have a preexisting condition. 1169 00:42:32,044 --> 00:42:34,190 AUDIENCE: Is the music playing at a funeral? 1170 00:42:34,190 --> 00:42:35,250 PROFESSOR: Is the music playing at a funeral? 1171 00:42:35,250 --> 00:42:35,750 No. 1172 00:42:38,844 --> 00:42:41,930 AUDIENCE: Did the music stop because it ended or did it 1173 00:42:41,930 --> 00:42:45,250 stop [INAUDIBLE]. 1174 00:42:45,250 --> 00:42:47,230 PROFESSOR: I can't answer that question 1175 00:42:47,230 --> 00:42:49,280 with a yes, a no, or irrelevant. 1176 00:42:49,280 --> 00:42:51,150 AUDIENCE: Was the music short? 1177 00:42:51,150 --> 00:42:52,733 PROFESSOR: Was the music to cut short? 1178 00:43:02,430 --> 00:43:05,424 No. 1179 00:43:05,424 --> 00:43:07,909 AUDIENCE: Was the man's death an accident? 1180 00:43:07,909 --> 00:43:09,700 PROFESSOR: Was the man's death an accident? 1181 00:43:09,700 --> 00:43:11,582 Yes. 1182 00:43:11,582 --> 00:43:14,264 AUDIENCE: Did the man die before the music started? 1183 00:43:14,264 --> 00:43:16,430 PROFESSOR: Did the men die before the music started? 1184 00:43:16,430 --> 00:43:18,611 No. 1185 00:43:18,611 --> 00:43:21,046 AUDIENCE: Did the man die because the music stopped? 1186 00:43:21,046 --> 00:43:23,530 PROFESSOR: Did the man die because the music stopped? 1187 00:43:23,530 --> 00:43:26,347 No. 1188 00:43:26,347 --> 00:43:28,055 AUDIENCE: Is the reason the man died also 1189 00:43:28,055 --> 00:43:29,850 the reason that the music stopped? 1190 00:43:29,850 --> 00:43:32,590 PROFESSOR: Is the reason that the man died also 1191 00:43:32,590 --> 00:43:35,600 the reason that the music stopped? 1192 00:43:35,600 --> 00:43:36,922 No. 1193 00:43:36,922 --> 00:43:38,380 AUDIENCE: Did the man kill himself? 1194 00:43:38,380 --> 00:43:39,880 PROFESSOR: Did the man kill himself? 1195 00:43:43,690 --> 00:43:46,486 Ask the question differently. 1196 00:43:46,486 --> 00:43:48,724 AUDIENCE: Is the man responsible for his own death? 1197 00:43:48,724 --> 00:43:50,890 PROFESSOR: Is the man responsible for his own death? 1198 00:43:53,862 --> 00:43:54,362 Yes. 1199 00:43:57,122 --> 00:43:59,330 AUDIENCE: Was the man involved in stopping the music? 1200 00:43:59,330 --> 00:44:00,490 PROFESSOR: Was the man involved in stopping the music? 1201 00:44:00,490 --> 00:44:00,990 No. 1202 00:44:04,579 --> 00:44:07,837 AUDIENCE: Did the man die before the music stopped? 1203 00:44:07,837 --> 00:44:08,420 PROFESSOR: No. 1204 00:44:08,420 --> 00:44:10,984 He did not die before the music stopped? 1205 00:44:10,984 --> 00:44:12,374 AUDIENCE: Was he in public? 1206 00:44:12,374 --> 00:44:13,540 PROFESSOR: Was he in public? 1207 00:44:13,540 --> 00:44:14,836 Yes. 1208 00:44:14,836 --> 00:44:15,960 AUDIENCE: Was he driving? 1209 00:44:15,960 --> 00:44:17,830 PROFESSOR: Was a driving? 1210 00:44:17,830 --> 00:44:20,152 No. 1211 00:44:20,152 --> 00:44:22,110 AUDIENCE: Is the music the name of something 1212 00:44:22,110 --> 00:44:23,760 unrelated to sound? 1213 00:44:23,760 --> 00:44:27,490 PROFESSOR: Is the music the name of something 1214 00:44:27,490 --> 00:44:28,495 unrelated to sound? 1215 00:44:31,330 --> 00:44:33,270 I don't know what you mean. 1216 00:44:33,270 --> 00:44:35,431 But I want to. 1217 00:44:35,431 --> 00:44:36,742 AUDIENCE: Is the music a name? 1218 00:44:36,742 --> 00:44:37,840 PROFESSOR: Is the music a? 1219 00:44:37,840 --> 00:44:38,650 AUDIENCE: A name. 1220 00:44:38,650 --> 00:44:39,270 PROFESSOR: A name. 1221 00:44:39,270 --> 00:44:40,240 AUDIENCE: Of something. 1222 00:44:40,240 --> 00:44:41,600 PROFESSOR: Of something. 1223 00:44:41,600 --> 00:44:42,998 I don't know what that means. 1224 00:44:42,998 --> 00:44:43,934 AUDIENCE MEMBER 1: Is it not music? 1225 00:44:43,934 --> 00:44:45,338 AUDIENCE MEMBER 2: He means is there a track 1226 00:44:45,338 --> 00:44:46,274 called "The Music." 1227 00:44:46,274 --> 00:44:47,080 PROFESSOR: Oh. 1228 00:44:47,080 --> 00:44:49,360 No. 1229 00:44:49,360 --> 00:44:49,860 Thank you. 1230 00:44:53,131 --> 00:44:53,630 It's hard. 1231 00:44:53,630 --> 00:44:55,854 It's not that hard. 1232 00:44:55,854 --> 00:44:57,770 AUDIENCE: Was the man in control of the music? 1233 00:44:57,770 --> 00:44:59,728 PROFESSOR: Was the man in control of the music? 1234 00:44:59,728 --> 00:45:01,640 No. 1235 00:45:01,640 --> 00:45:04,542 AUDIENCE: Is the music relevant to the man's death at all? 1236 00:45:04,542 --> 00:45:07,000 PROFESSOR: Is the music relevant at all to the man's death? 1237 00:45:07,000 --> 00:45:07,500 Yes. 1238 00:45:10,015 --> 00:45:12,105 AUDIENCE: Did someone try to stop his death? 1239 00:45:12,105 --> 00:45:14,875 PROFESSOR: Did someone try to stop his death? 1240 00:45:14,875 --> 00:45:15,375 Irrelevant. 1241 00:45:18,408 --> 00:45:19,760 AUDIENCE: Did he want to die? 1242 00:45:19,760 --> 00:45:21,336 PROFESSOR: Did the man want to die? 1243 00:45:21,336 --> 00:45:21,836 No. 1244 00:45:24,942 --> 00:45:26,525 AUDIENCE: Is the song that was playing 1245 00:45:26,525 --> 00:45:28,470 relevant to the man's death? 1246 00:45:28,470 --> 00:45:30,120 PROFESSOR: Is the song that was playing 1247 00:45:30,120 --> 00:45:31,425 relevant to the man's death? 1248 00:45:35,190 --> 00:45:36,961 -ish. 1249 00:45:36,961 --> 00:45:40,202 Sorry to break the format. 1250 00:45:40,202 --> 00:45:43,070 AUDIENCE: So is it an internal injury that killed him? 1251 00:45:49,320 --> 00:45:51,320 An external injury would be like a trauma, 1252 00:45:51,320 --> 00:45:55,248 whereas an internal injury would be like a heart attack. 1253 00:45:55,248 --> 00:45:58,339 I'm trying to figure out the way he died. 1254 00:45:58,339 --> 00:46:00,130 PROFESSOR: Ask me a very specific question. 1255 00:46:00,130 --> 00:46:01,630 AUDIENCE: Was it an internal injury? 1256 00:46:01,630 --> 00:46:06,990 [LAUGHTER] 1257 00:46:06,990 --> 00:46:09,297 Did he die of a heart attack? 1258 00:46:09,297 --> 00:46:09,880 PROFESSOR: No. 1259 00:46:09,880 --> 00:46:11,046 AUDIENCE MEMBER 1: A stroke? 1260 00:46:13,340 --> 00:46:15,730 AUDIENCE MEMBER 2: Something hit him? 1261 00:46:15,730 --> 00:46:16,355 PROFESSOR: Yes. 1262 00:46:16,355 --> 00:46:18,050 AUDIENCE: An ice cream truck hit him. 1263 00:46:18,050 --> 00:46:20,344 PROFESSOR: No. 1264 00:46:20,344 --> 00:46:21,260 Did something hit him? 1265 00:46:21,260 --> 00:46:21,600 Yes. 1266 00:46:21,600 --> 00:46:22,460 Did an ice cream truck hit him? 1267 00:46:22,460 --> 00:46:23,219 No. 1268 00:46:23,219 --> 00:46:24,135 But that's very funny. 1269 00:46:26,145 --> 00:46:28,520 AUDIENCE: Was the thing that hit him intended to hit him? 1270 00:46:28,520 --> 00:46:31,846 PROFESSOR: Was the thing that hit him intended to hit him? 1271 00:46:31,846 --> 00:46:32,345 No. 1272 00:46:36,015 --> 00:46:39,068 AUDIENCE: Did the music player fall on the guy? 1273 00:46:39,068 --> 00:46:41,234 PROFESSOR: The music player did not fall on the guy. 1274 00:46:41,234 --> 00:46:42,692 AUDIENCE: Since he was blindfolded, 1275 00:46:42,692 --> 00:46:47,814 was he to guide himself in a certain direction? 1276 00:46:47,814 --> 00:46:49,230 PROFESSOR: Ask the question again. 1277 00:46:49,230 --> 00:46:50,688 AUDIENCE: Since he was blindfolded, 1278 00:46:50,688 --> 00:46:52,789 was he using the music as a way to guide himself 1279 00:46:52,789 --> 00:46:54,080 towards or away from something? 1280 00:46:54,080 --> 00:46:56,730 PROFESSOR: Yes. 1281 00:46:56,730 --> 00:46:58,932 She asked the question was the music guiding him-- 1282 00:46:58,932 --> 00:47:00,890 AUDIENCE: Was he using the music to guide him-- 1283 00:47:00,890 --> 00:47:02,848 PROFESSOR: Was he using the music to guide him? 1284 00:47:02,848 --> 00:47:03,454 Yes. 1285 00:47:03,454 --> 00:47:05,370 AUDIENCE: Is the man a performer of some sort? 1286 00:47:05,370 --> 00:47:06,786 PROFESSOR: Is the man a performer? 1287 00:47:06,786 --> 00:47:08,258 Yes. 1288 00:47:08,258 --> 00:47:10,570 AUDIENCE: Was he a tightrope walker? 1289 00:47:10,570 --> 00:47:12,705 PROFESSOR: Was he a tightrope walker? 1290 00:47:12,705 --> 00:47:13,205 Yes. 1291 00:47:17,035 --> 00:47:18,392 AUDIENCE: Did he fall? 1292 00:47:18,392 --> 00:47:19,350 PROFESSOR: Did he fall? 1293 00:47:19,350 --> 00:47:19,849 Yes. 1294 00:47:23,539 --> 00:47:25,080 AUDIENCE: Was the man using the music 1295 00:47:25,080 --> 00:47:28,038 to guide himself blindfolded across the tightrope 1296 00:47:28,038 --> 00:47:30,435 and then the music stopped and he fell off? 1297 00:47:30,435 --> 00:47:32,560 PROFESSOR: Was the man using the music to guide him 1298 00:47:32,560 --> 00:47:33,720 across the tightrope-- 1299 00:47:33,720 --> 00:47:34,440 AUDIENCE: While he was blindfolded. 1300 00:47:34,440 --> 00:47:36,023 PROFESSOR: --while he was blindfolded. 1301 00:47:36,023 --> 00:47:37,988 And what was the next part? 1302 00:47:37,988 --> 00:47:39,740 AUDIENCE: The music stopped so he couldn't 1303 00:47:39,740 --> 00:47:41,060 find where he was going so then he fell off. 1304 00:47:41,060 --> 00:47:41,820 PROFESSOR: The music stopped so he 1305 00:47:41,820 --> 00:47:43,290 couldn't find where he was going. 1306 00:47:43,290 --> 00:47:44,486 And therefore, he fall off. 1307 00:47:44,486 --> 00:47:44,985 No. 1308 00:47:47,550 --> 00:47:49,520 So close. 1309 00:47:49,520 --> 00:47:51,920 AUDIENCE: Was he supposed to jump into a net and missed? 1310 00:47:51,920 --> 00:47:53,080 PROFESSOR: We he supposed to jump into a net and missed? 1311 00:47:53,080 --> 00:47:53,580 No. 1312 00:47:56,045 --> 00:47:57,670 AUDIENCE: Did the speakers fall on him? 1313 00:47:57,670 --> 00:47:58,270 PROFESSOR: Did the speakers fall on him? 1314 00:47:58,270 --> 00:47:59,105 No. 1315 00:47:59,105 --> 00:48:00,480 AUDIENCE: Was he using the number 1316 00:48:00,480 --> 00:48:02,350 of beats to traverse the tightrope? 1317 00:48:02,350 --> 00:48:03,300 PROFESSOR: Was using the number of beats 1318 00:48:03,300 --> 00:48:04,383 to traverse the tightrope? 1319 00:48:04,383 --> 00:48:05,120 No. 1320 00:48:05,120 --> 00:48:08,632 AUDIENCE: Was the tightrope the wire for the music player? 1321 00:48:08,632 --> 00:48:11,090 PROFESSOR: Was the tightrope the wire for the music player? 1322 00:48:11,090 --> 00:48:11,910 Very creative. 1323 00:48:11,910 --> 00:48:14,120 No. 1324 00:48:14,120 --> 00:48:16,744 AUDIENCE: Was the music supposed to stop when he was at the end 1325 00:48:16,744 --> 00:48:18,031 but it stopped early? 1326 00:48:18,031 --> 00:48:19,406 PROFESSOR: Was the music supposed 1327 00:48:19,406 --> 00:48:21,230 to be stopped when he got to the end? 1328 00:48:21,230 --> 00:48:22,619 Yes. 1329 00:48:22,619 --> 00:48:23,660 And that's what happened. 1330 00:48:27,320 --> 00:48:29,390 So he's walking on a tightrope. 1331 00:48:29,390 --> 00:48:31,056 And all of a sudden-- he's blindfolded-- 1332 00:48:31,056 --> 00:48:34,362 and the music stops, so he figures he's at the end. 1333 00:48:34,362 --> 00:48:37,150 And he just steps off. 1334 00:48:37,150 --> 00:48:38,900 But he wasn't at the end. 1335 00:48:38,900 --> 00:48:40,696 And there was no net. 1336 00:48:40,696 --> 00:48:45,020 And he fell to his death where the ground hit him. 1337 00:48:45,020 --> 00:48:48,430 [AUDIENCE DISGRUNTLEMENT] 1338 00:48:48,430 --> 00:48:49,954 You said, did something hit him. 1339 00:48:49,954 --> 00:48:50,454 Yes. 1340 00:48:50,454 --> 00:48:51,204 Something hit him. 1341 00:48:53,970 --> 00:48:54,650 I didn't lie. 1342 00:48:54,650 --> 00:48:55,846 Something did hit him. 1343 00:48:55,846 --> 00:48:57,220 AUDIENCE: He hit the ground. 1344 00:48:57,220 --> 00:48:59,350 PROFESSOR: Oh. 1345 00:48:59,350 --> 00:49:00,430 I'm sorry. 1346 00:49:00,430 --> 00:49:03,371 You've all taken physics. 1347 00:49:03,371 --> 00:49:05,370 The ground hit him as much as he hit the ground. 1348 00:49:05,370 --> 00:49:06,203 [INTERPOSING VOICES] 1349 00:49:10,180 --> 00:49:11,639 PROFESSOR: He wasn't dead. 1350 00:49:11,639 --> 00:49:12,430 He was still alive. 1351 00:49:12,430 --> 00:49:13,263 [INTERPOSING VOICES] 1352 00:49:15,507 --> 00:49:17,340 PROFESSOR: The music stopped before he died. 1353 00:49:17,340 --> 00:49:19,330 AUDIENCE: Because arguably, he died when he hit the concrete. 1354 00:49:19,330 --> 00:49:19,710 PROFESSOR: Oh. 1355 00:49:19,710 --> 00:49:20,210 No. 1356 00:49:20,210 --> 00:49:22,640 I answered the questions very specifically each time. 1357 00:49:22,640 --> 00:49:24,910 In fact, we have all the questions, here, 1358 00:49:24,910 --> 00:49:27,110 that you asked. 1359 00:49:27,110 --> 00:49:29,970 Any ones in particular that were of note? 1360 00:49:29,970 --> 00:49:32,760 So what's very interesting here is about asking questions. 1361 00:49:32,760 --> 00:49:34,560 And it leads us into what we want 1362 00:49:34,560 --> 00:49:37,570 to talk about here with research. 1363 00:49:37,570 --> 00:49:39,420 Asking good questions is really hard. 1364 00:49:39,420 --> 00:49:41,350 And when you ask questions, sometimes you 1365 00:49:41,350 --> 00:49:43,400 find you're going down a path that's giving you information. 1366 00:49:43,400 --> 00:49:44,410 Sometimes you don't. 1367 00:49:44,410 --> 00:49:48,761 Often the first question I get asked was, was he outside? 1368 00:49:48,761 --> 00:49:49,260 No. 1369 00:49:49,260 --> 00:49:50,134 Was he in a building. 1370 00:49:50,134 --> 00:49:51,010 Yes. 1371 00:49:51,010 --> 00:49:53,305 What comes to your mind as someone 1372 00:49:53,305 --> 00:49:54,636 said he was in a building? 1373 00:49:54,636 --> 00:49:55,490 [INTERPOSING VOICES] 1374 00:49:55,490 --> 00:49:56,210 PROFESSOR: You'd think an office building. 1375 00:49:56,210 --> 00:49:56,790 Right? 1376 00:49:56,790 --> 00:49:59,740 You wouldn't think a tent or a circus. 1377 00:49:59,740 --> 00:50:01,290 That's a building. 1378 00:50:01,290 --> 00:50:02,570 It's a structure. 1379 00:50:02,570 --> 00:50:06,240 If I said no to building, would I have to say yes to tent? 1380 00:50:06,240 --> 00:50:08,120 Like at some point if I'm being very binary. 1381 00:50:08,120 --> 00:50:09,670 So asking questions is very hard. 1382 00:50:09,670 --> 00:50:11,253 You see any ones that you're skimming? 1383 00:50:12,657 --> 00:50:14,990 QUESTION TYPER: The internal injury one was really good. 1384 00:50:14,990 --> 00:50:15,625 PROFESSOR: Internal injuries. 1385 00:50:15,625 --> 00:50:17,950 QUESTION TYPER: That put them in the right direction. 1386 00:50:17,950 --> 00:50:18,670 PROFESSOR: Hitting the ground. 1387 00:50:18,670 --> 00:50:20,628 So when you said, did something hit him-- well, 1388 00:50:20,628 --> 00:50:21,587 yes, something hit him. 1389 00:50:21,587 --> 00:50:23,420 But it doesn't tell you about the direction. 1390 00:50:23,420 --> 00:50:23,810 Right? 1391 00:50:23,810 --> 00:50:24,880 And now you're beginning to think 1392 00:50:24,880 --> 00:50:26,130 an ice cream truck struck him. 1393 00:50:26,130 --> 00:50:27,220 And this makes sense. 1394 00:50:27,220 --> 00:50:29,050 What you did is exactly right. 1395 00:50:29,050 --> 00:50:31,770 All this is exactly what you should be thinking about. 1396 00:50:31,770 --> 00:50:34,220 But it shows us, given some data-- think about when you're 1397 00:50:34,220 --> 00:50:37,250 asking questions-- you can get the exact, truthful, right 1398 00:50:37,250 --> 00:50:41,040 answer and still be radically incorrect about what 1399 00:50:41,040 --> 00:50:44,216 you understand from this. 1400 00:50:44,216 --> 00:50:45,840 That was a little induction to research 1401 00:50:45,840 --> 00:50:50,690 here, complete with formula. 1402 00:50:50,690 --> 00:50:53,060 So research. 1403 00:50:53,060 --> 00:50:54,090 Just a basic thing. 1404 00:50:54,090 --> 00:50:56,215 You want to ask questions and find out about stuff. 1405 00:50:56,215 --> 00:51:00,540 Asking questions is important, but answers can be misleading. 1406 00:51:00,540 --> 00:51:03,680 Academic and scientific research is often wrong. 1407 00:51:03,680 --> 00:51:06,500 We think it's the truth when we read it. 1408 00:51:06,500 --> 00:51:09,070 And maybe it's truthful. 1409 00:51:09,070 --> 00:51:10,290 Many of them are very good. 1410 00:51:10,290 --> 00:51:12,520 But often they're wrong. 1411 00:51:12,520 --> 00:51:16,000 And we base beliefs and make conclusions and decisions 1412 00:51:16,000 --> 00:51:17,789 based on faulty information. 1413 00:51:17,789 --> 00:51:19,330 Which gets us back to the first thing 1414 00:51:19,330 --> 00:51:21,413 I talked to you about on the first day, which was? 1415 00:51:24,450 --> 00:51:24,950 To do what? 1416 00:51:24,950 --> 00:51:25,680 The first thing. 1417 00:51:25,680 --> 00:51:25,920 AUDIENCE: Ask the right question. 1418 00:51:25,920 --> 00:51:27,450 PROFESSOR: To ask why. 1419 00:51:27,450 --> 00:51:30,030 To make sure that we're getting to the underlying reasons. 1420 00:51:30,030 --> 00:51:32,440 Because that may be wrong. 1421 00:51:32,440 --> 00:51:36,470 Research results may be good but the conclusions may be wrong. 1422 00:51:36,470 --> 00:51:37,870 So here we had great research. 1423 00:51:37,870 --> 00:51:39,320 The question was, did he die of internal injuries. 1424 00:51:39,320 --> 00:51:39,820 Yes. 1425 00:51:39,820 --> 00:51:40,736 Did something hit him? 1426 00:51:40,736 --> 00:51:41,260 Yes. 1427 00:51:41,260 --> 00:51:42,340 What did we conclude? 1428 00:51:42,340 --> 00:51:45,300 That something hit him-- that he was stationary. 1429 00:51:45,300 --> 00:51:46,190 Easy to do. 1430 00:51:46,190 --> 00:51:47,300 This is Fitts' Law. 1431 00:51:47,300 --> 00:51:48,430 It's pretty cool. 1432 00:51:48,430 --> 00:51:52,367 I won't bother explaining it right now. 1433 00:51:52,367 --> 00:51:53,200 It's so interesting. 1434 00:51:53,200 --> 00:51:54,830 It's used a lot in computer and human interaction. 1435 00:51:54,830 --> 00:51:56,155 I'll give you the basic idea. 1436 00:52:01,540 --> 00:52:05,600 This distance is D. And I think, here in the formula, 1437 00:52:05,600 --> 00:52:09,290 this is W, which really talks about-- actually, 1438 00:52:09,290 --> 00:52:12,240 that's Ws here and Ws here. 1439 00:52:12,240 --> 00:52:14,640 It's a margin of error, technically. 1440 00:52:14,640 --> 00:52:16,520 But here it's a width. 1441 00:52:16,520 --> 00:52:18,540 And what he would do is he'd say, look, 1442 00:52:18,540 --> 00:52:20,601 we can have people doing something like tapping. 1443 00:52:20,601 --> 00:52:21,100 Here. 1444 00:52:21,100 --> 00:52:21,799 Here. 1445 00:52:21,799 --> 00:52:22,590 As fast as you can. 1446 00:52:27,760 --> 00:52:31,210 Now if I take those lines and I change them. 1447 00:52:31,210 --> 00:52:34,320 I'm going to make them like this. 1448 00:52:34,320 --> 00:52:35,610 So that's one. 1449 00:52:35,610 --> 00:52:37,850 I do this. 1450 00:52:37,850 --> 00:52:39,390 Faster. 1451 00:52:39,390 --> 00:52:40,190 What if I do this? 1452 00:52:48,180 --> 00:52:48,866 Pretty good. 1453 00:52:48,866 --> 00:52:49,610 Pretty good. 1454 00:52:49,610 --> 00:52:51,100 And so I'm pretty good with that. 1455 00:52:51,100 --> 00:52:52,220 But my speed changed. 1456 00:52:52,220 --> 00:52:56,570 And if I wanted to go faster, my accuracy would go down. 1457 00:52:56,570 --> 00:52:58,810 So what can we conclude from this? 1458 00:52:58,810 --> 00:52:59,875 Lots of things. 1459 00:52:59,875 --> 00:53:01,916 Somethings that are very good and somethings that 1460 00:53:01,916 --> 00:53:02,885 are incorrect. 1461 00:53:02,885 --> 00:53:03,940 One conclusion. 1462 00:53:03,940 --> 00:53:05,820 If I work on a computer system that just 1463 00:53:05,820 --> 00:53:08,070 has a keyboard and no mice at all. 1464 00:53:08,070 --> 00:53:12,430 And it's now 1985, 1986. 1465 00:53:12,430 --> 00:53:15,570 Should I use a graphical user interface or not? 1466 00:53:15,570 --> 00:53:18,262 Well the incorrect conclusion might be it will slow you down. 1467 00:53:18,262 --> 00:53:20,220 Because every time you move your hand over-- we 1468 00:53:20,220 --> 00:53:21,110 can calculate it out. 1469 00:53:21,110 --> 00:53:23,110 How long it's going to take you for every action 1470 00:53:23,110 --> 00:53:25,299 that requires you to use a mouse. 1471 00:53:25,299 --> 00:53:27,340 And so we don't want to have people slowing down. 1472 00:53:27,340 --> 00:53:30,760 We're going to keep everything using keyboard commands. 1473 00:53:30,760 --> 00:53:33,420 But it may not be true that it's going to make you faster. 1474 00:53:33,420 --> 00:53:37,189 That's an incorrect conclusion-- maybe given that same system. 1475 00:53:37,189 --> 00:53:38,730 But maybe if you redesign the system, 1476 00:53:38,730 --> 00:53:40,000 it will actually become a system that you 1477 00:53:40,000 --> 00:53:41,910 can use faster because you can use the mouse 1478 00:53:41,910 --> 00:53:44,096 to be able to do things you couldn't do before. 1479 00:53:44,096 --> 00:53:45,720 And the correct conclusion that we draw 1480 00:53:45,720 --> 00:53:48,739 is the right click for a pop-up menu-- 1481 00:53:48,739 --> 00:53:51,280 you right click on something and then the menu's right there. 1482 00:53:51,280 --> 00:53:53,290 So now you've moved your hand to the mouse. 1483 00:53:53,290 --> 00:53:54,795 You move your mouse to the target. 1484 00:53:54,795 --> 00:53:56,020 And you right click on it. 1485 00:53:56,020 --> 00:53:57,900 And now you have a menu that's contextual, 1486 00:53:57,900 --> 00:53:59,234 that's short and easy to get to. 1487 00:53:59,234 --> 00:54:01,358 Instead of moving your mouse all the way to the top 1488 00:54:01,358 --> 00:54:03,990 to a big menu bar and having to find your way through cascading 1489 00:54:03,990 --> 00:54:05,740 menus. 1490 00:54:05,740 --> 00:54:08,050 That is the correct use of it. 1491 00:54:08,050 --> 00:54:10,790 Research results may be good but conclusions may be wrong. 1492 00:54:10,790 --> 00:54:13,600 So when you see a really good research piece like this, 1493 00:54:13,600 --> 00:54:18,630 understand that what you do with that is really important. 1494 00:54:18,630 --> 00:54:19,990 We design projects for people. 1495 00:54:19,990 --> 00:54:22,730 People don't know what they want often. 1496 00:54:22,730 --> 00:54:25,560 I could say, do you want to have a device that's 1497 00:54:25,560 --> 00:54:28,645 this big and flat and has a keyboard on it that's virtual 1498 00:54:28,645 --> 00:54:29,610 and all the stuff. 1499 00:54:29,610 --> 00:54:31,260 You might say, nah, I don't want that. 1500 00:54:31,260 --> 00:54:34,460 In fact, when the iPad came out, the week 1501 00:54:34,460 --> 00:54:37,510 beforehand or two weeks before I had pre-ordered it 1502 00:54:37,510 --> 00:54:40,230 because I had to be really cool and wanted it. 1503 00:54:40,230 --> 00:54:44,705 And my classmates were saying, oh that's ridiculous. 1504 00:54:44,705 --> 00:54:46,400 I said, why is it ridiculous? 1505 00:54:46,400 --> 00:54:50,290 Well, it's like a bigger iPhone and you don't need that. 1506 00:54:50,290 --> 00:54:51,900 And I'm like I think it's different. 1507 00:54:51,900 --> 00:54:54,266 They said, no, it's just a bigger iPhone. 1508 00:54:54,266 --> 00:54:55,390 We're not going to get one. 1509 00:54:55,390 --> 00:54:57,598 Well within a month, of course, a whole bunch of them 1510 00:54:57,598 --> 00:54:59,790 are ordering them because they saw it was different. 1511 00:54:59,790 --> 00:55:01,706 But if you asked them-- if you said, would you 1512 00:55:01,706 --> 00:55:06,370 like to pay $600 or $800 for an object like this, 1513 00:55:06,370 --> 00:55:08,430 they might have said, no. 1514 00:55:08,430 --> 00:55:11,330 And then they never would've made an iPad. 1515 00:55:11,330 --> 00:55:13,720 It's very hard to ask people what they want. 1516 00:55:13,720 --> 00:55:17,450 And if they know what they want, they often can't articulate it. 1517 00:55:17,450 --> 00:55:20,670 They don't know what words to use to convey the idea. 1518 00:55:20,670 --> 00:55:22,506 So as a designer when you research, 1519 00:55:22,506 --> 00:55:24,880 how you ask questions, how you interpret people's answers 1520 00:55:24,880 --> 00:55:25,671 is really critical. 1521 00:55:28,910 --> 00:55:33,675 I'd like to show you this video about why 1522 00:55:33,675 --> 00:55:38,270 it can be hard to get good answers when 1523 00:55:38,270 --> 00:55:40,190 you ask a question. 1524 00:55:40,190 --> 00:55:43,500 This video is for a game show called the Family Feud. 1525 00:55:43,500 --> 00:55:46,190 Who does not know the show? 1526 00:55:46,190 --> 00:55:47,650 Briefly, here's how it works. 1527 00:55:47,650 --> 00:55:49,080 They have parts of the show where 1528 00:55:49,080 --> 00:55:52,855 they ask people-- 100 people get surveyed-- they'll ask them 1529 00:55:52,855 --> 00:55:56,990 a question like, what would you expect 1530 00:55:56,990 --> 00:56:00,500 to find in a refrigerator? 1531 00:56:00,500 --> 00:56:02,990 And you want to guess the most popular answer 1532 00:56:02,990 --> 00:56:05,360 because that will be the number of points you get. 1533 00:56:05,360 --> 00:56:06,666 So what would you answer? 1534 00:56:06,666 --> 00:56:07,394 AUDIENCE: Milk. 1535 00:56:07,394 --> 00:56:08,060 PROFESSOR: Milk. 1536 00:56:08,060 --> 00:56:11,090 Milk is the most popular answer. 1537 00:56:11,090 --> 00:56:13,270 And so this is a speed round at the end where 1538 00:56:13,270 --> 00:56:15,300 they have two different teams. 1539 00:56:15,300 --> 00:56:18,150 And this one person comes over and he's looking away 1540 00:56:18,150 --> 00:56:21,870 from the board and this guy asks him these questions in a row. 1541 00:56:21,870 --> 00:56:23,620 It's like five questions. 1542 00:56:23,620 --> 00:56:25,910 One of them is the milk question. 1543 00:56:25,910 --> 00:56:29,230 You're asking this person who's on a game show-- average 1544 00:56:29,230 --> 00:56:31,530 person, answering questions. 1545 00:56:31,530 --> 00:56:34,170 He happens to be under pressure because he's on a game show. 1546 00:56:34,170 --> 00:56:35,211 You'll see his responses. 1547 00:56:37,967 --> 00:56:39,800 I'm just going to roll this for a little bit 1548 00:56:39,800 --> 00:56:42,174 and then we're going to show you the second part of this. 1549 00:56:47,670 --> 00:56:50,336 HOST (ON SCREEN): Name an animal with three letters in its name. 1550 00:56:52,982 --> 00:56:54,760 CONTESTANT 1 (ON SCREEN): Frog. 1551 00:56:54,760 --> 00:56:56,926 HOST (ON SCREEN): Something found in a refrigerator. 1552 00:56:56,926 --> 00:56:58,220 CONTESTANT 1 (ON SCREEN): Milk. 1553 00:56:58,220 --> 00:56:59,530 HOST (ON SCREEN): A brand of gasoline. 1554 00:56:59,530 --> 00:57:00,290 CONTESTANT 1 (ON SCREEN): Regular. 1555 00:57:00,290 --> 00:57:03,110 HOST (ON SCREEN): Something that comes with a summer storm. 1556 00:57:03,110 --> 00:57:04,500 CONTESTANT 1 (ON SCREEN): Snow. 1557 00:57:04,500 --> 00:57:06,500 HOST (ON SCREEN): A sport with an all-star game. 1558 00:57:06,500 --> 00:57:07,710 [BUZZER] 1559 00:57:07,710 --> 00:57:09,210 Turn around. 1560 00:57:09,210 --> 00:57:10,960 You may never be up here again. 1561 00:57:10,960 --> 00:57:12,704 Let's take a look. 1562 00:57:12,704 --> 00:57:15,692 Name an animal with three letters in its name. 1563 00:57:15,692 --> 00:57:17,684 You said, frog. 1564 00:57:17,684 --> 00:57:20,174 Our survey said 0. 1565 00:57:20,174 --> 00:57:22,420 Two people would have to say that. 1566 00:57:22,420 --> 00:57:24,330 Something found in a refrigerator. 1567 00:57:24,330 --> 00:57:26,182 You said, milk. 1568 00:57:26,182 --> 00:57:29,910 Our survey said 28. 1569 00:57:29,910 --> 00:57:32,920 A brand of gasoline we wanted. 1570 00:57:32,920 --> 00:57:35,267 You said, regular. 1571 00:57:35,267 --> 00:57:36,245 That's a good brand. 1572 00:57:36,245 --> 00:57:37,710 Our survey said. 1573 00:57:37,710 --> 00:57:39,668 CONTESTANT 1 (ON SCREEN): It's the brand I use. 1574 00:57:39,668 --> 00:57:42,126 HOST (ON SCREEN): Something that comes with a summer storm. 1575 00:57:42,126 --> 00:57:46,702 You gave me the answer snow. 1576 00:57:46,702 --> 00:57:48,100 Our survey said. 1577 00:57:50,222 --> 00:57:51,930 PROFESSOR: So you saw what happened here. 1578 00:57:51,930 --> 00:57:54,350 This person is trying to answer questions under pressure. 1579 00:57:54,350 --> 00:57:56,308 He's trying to provide the best answers he can. 1580 00:57:56,308 --> 00:57:58,010 An animal with three letters. 1581 00:57:58,010 --> 00:57:58,510 Frog. 1582 00:58:01,690 --> 00:58:04,451 I can see maybe-- it's a short word, right? 1583 00:58:04,451 --> 00:58:05,700 Something in the refrigerator. 1584 00:58:05,700 --> 00:58:06,220 We got milk. 1585 00:58:06,220 --> 00:58:06,530 You all got milk. 1586 00:58:06,530 --> 00:58:07,430 You were great. 1587 00:58:07,430 --> 00:58:08,900 A brand of gasoline. 1588 00:58:08,900 --> 00:58:11,630 Regular. 1589 00:58:11,630 --> 00:58:15,190 He thought regular is the brand instead 1590 00:58:15,190 --> 00:58:17,710 of Shell or Mobil or something else. 1591 00:58:17,710 --> 00:58:21,550 That's what he associated with that area. 1592 00:58:21,550 --> 00:58:25,410 Something that comes with a summer storm. 1593 00:58:25,410 --> 00:58:25,910 Snow. 1594 00:58:28,790 --> 00:58:30,890 It doesn't happen in the summer, I 1595 00:58:30,890 --> 00:58:33,250 think, for most parts of the world. 1596 00:58:33,250 --> 00:58:34,450 Certainly not here. 1597 00:58:34,450 --> 00:58:38,480 But his reaction was to supply an answer that wasn't useful, 1598 00:58:38,480 --> 00:58:40,230 even though he probably would know things. 1599 00:58:40,230 --> 00:58:42,570 But under pressure, not easy for him 1600 00:58:42,570 --> 00:58:44,820 to be able to come up with good answers. 1601 00:58:44,820 --> 00:58:48,832 Let's continue this and watch his opponent. 1602 00:58:48,832 --> 00:58:51,202 HOST (ON SCREEN): I got good news and bad news. 1603 00:58:51,202 --> 00:58:52,630 CONTESTANT 2 (ON SCREEN): Give me the bad news first. 1604 00:58:52,630 --> 00:58:54,004 HOST (ON SCREEN): The bad news is 1605 00:58:54,004 --> 00:58:57,740 you need 172 points to win the money. 1606 00:58:57,740 --> 00:59:00,136 The good news is you're the man to do it. 1607 00:59:00,136 --> 00:59:01,760 I'm going to ask you the same questions 1608 00:59:01,760 --> 00:59:02,676 I asked the other Bob. 1609 00:59:02,676 --> 00:59:06,386 You cannot and you do not want to duplicate his answers. 1610 00:59:06,386 --> 00:59:07,883 If you do, you hear this. 1611 00:59:07,883 --> 00:59:08,881 [BUZZER] 1612 00:59:08,881 --> 00:59:10,377 What noise do we hear? 1613 00:59:10,377 --> 00:59:10,877 [BUZZER] 1614 00:59:10,877 --> 00:59:12,380 Thank you. 1615 00:59:12,380 --> 00:59:13,464 I will then say try again. 1616 00:59:13,464 --> 00:59:14,713 You'll give me another answer. 1617 00:59:14,713 --> 00:59:15,480 Alright? 1618 00:59:15,480 --> 00:59:17,555 Remind everyone, to Bob's shame, the answers 1619 00:59:17,555 --> 00:59:22,530 he gave us and give me 20 seconds on the clock, please. 1620 00:59:22,530 --> 00:59:26,050 Name an animal with three letters in its name. 1621 00:59:26,050 --> 00:59:27,800 CONTESTANT 2 (ON SCREEN): Alligator. 1622 00:59:27,800 --> 00:59:31,259 HOST (ON SCREEN): Something found in a refrigerator. 1623 00:59:31,259 --> 00:59:32,550 CONTESTANT 2 (ON SCREEN): Milk. 1624 00:59:32,550 --> 00:59:33,980 HOST (ON SCREEN): Try again. 1625 00:59:33,980 --> 00:59:35,230 CONTESTANT 2 (ON SCREEN): Ice. 1626 00:59:35,230 --> 00:59:37,131 HOST (ON SCREEN): A brand of gasoline. 1627 00:59:37,131 --> 00:59:38,464 CONTESTANT 2 (ON SCREEN): Ethyl. 1628 00:59:38,464 --> 00:59:43,240 HOST (ON SCREEN): Something that comes with a summer storm. 1629 00:59:43,240 --> 00:59:44,640 CONTESTANT 2 (ON SCREEN): Rain. 1630 00:59:44,640 --> 00:59:46,225 HOST (ON SCREEN): A sport with an all-star game. 1631 00:59:46,225 --> 00:59:46,840 [BUZZER] 1632 00:59:46,840 --> 00:59:47,646 CONTESTANT 2 (ON SCREEN): Football. 1633 00:59:47,646 --> 00:59:48,042 HOST (ON SCREEN): Football. 1634 00:59:48,042 --> 00:59:49,208 You've got to give him that. 1635 00:59:55,582 --> 00:59:59,550 Any man that says alligator, you've got to give it. 1636 00:59:59,550 --> 01:00:02,774 Name an animal with three letters in its name. 1637 01:00:02,774 --> 01:00:05,998 You said, alligator. 1638 01:00:05,998 --> 01:00:07,486 Our survey said. 1639 01:00:18,886 --> 01:00:19,886 You don't use narcotics. 1640 01:00:19,886 --> 01:00:21,154 Do you? 1641 01:00:21,154 --> 01:00:22,862 CONTESTANT 2 (ON SCREEN): No, but I will. 1642 01:00:22,862 --> 01:00:24,903 HOST (ON SCREEN): I mean, I thought frog was bad. 1643 01:00:31,294 --> 01:00:34,270 I thought frog was a disastrous answer 1644 01:00:34,270 --> 01:00:36,750 until you came up with alligator. 1645 01:00:36,750 --> 01:00:38,734 It's a real tough one. 1646 01:00:38,734 --> 01:00:41,214 Dog was the number one answer. 1647 01:00:41,214 --> 01:00:43,198 Dog. 1648 01:00:43,198 --> 01:00:45,190 CONTESTANT 2 (ON SCREEN): Are you sure it was? 1649 01:00:45,190 --> 01:00:47,065 HOST (ON SCREEN): Three letters in it's name. 1650 01:00:47,065 --> 01:00:47,746 Dog. 1651 01:00:47,746 --> 01:00:51,218 D-O-G. 1652 01:00:51,218 --> 01:00:51,990 [CHATTERING] 1653 01:00:51,990 --> 01:00:53,698 HOST (ON SCREEN): And we wanted something 1654 01:00:53,698 --> 01:00:55,682 found in a refrigerator. 1655 01:00:55,682 --> 01:00:58,162 You both had this nailed down very well. 1656 01:00:58,162 --> 01:01:00,572 Unfortunately, you repeated his answer, which was milk. 1657 01:01:00,572 --> 01:01:03,524 But you said, ice. 1658 01:01:03,524 --> 01:01:05,000 That's the place to find it. 1659 01:01:05,000 --> 01:01:06,476 Our survey said 17. 1660 01:01:09,920 --> 01:01:11,888 Milk was the number one answer. 1661 01:01:11,888 --> 01:01:14,348 It was the only good thing that Bob did. 1662 01:01:14,348 --> 01:01:16,808 A brand of gasoline we asked. 1663 01:01:16,808 --> 01:01:18,344 You said, ethyl. 1664 01:01:18,344 --> 01:01:19,760 CONTESTANT 2 (ON SCREEN): A brand. 1665 01:01:19,760 --> 01:01:22,652 HOST (ON SCREEN): A brand which I think you've been drinking. 1666 01:01:22,652 --> 01:01:26,580 Our survey said. 1667 01:01:26,580 --> 01:01:28,053 The number one answer was Shell. 1668 01:01:28,053 --> 01:01:29,530 CONTESTANT 2 (ON SCREEN): Shell. 1669 01:01:29,530 --> 01:01:31,988 HOST (ON SCREEN): Something that comes with a summer storm. 1670 01:01:31,988 --> 01:01:33,155 At least you have reached. 1671 01:01:33,155 --> 01:01:34,261 Did you see his answer? 1672 01:01:34,261 --> 01:01:35,734 Snow! 1673 01:01:35,734 --> 01:01:37,916 At least you said, I believe, rain. 1674 01:01:37,916 --> 01:01:39,345 Is that correct? 1675 01:01:39,345 --> 01:01:40,830 Well, that's good. 1676 01:01:40,830 --> 01:01:42,810 Our survey said 9. 1677 01:01:46,275 --> 01:01:49,270 And then a sport with an all-star game. 1678 01:01:49,270 --> 01:01:51,184 You said, Football. 1679 01:01:51,184 --> 01:01:54,628 It was about two minutes late but I insisted you get it. 1680 01:01:54,628 --> 01:01:56,104 Our survey said. 1681 01:01:56,104 --> 01:02:01,040 [BUZZER] 1682 01:02:01,040 --> 01:02:04,150 So these people are not stupid. 1683 01:02:04,150 --> 01:02:05,440 They're smart people. 1684 01:02:05,440 --> 01:02:07,000 They're regular people. 1685 01:02:07,000 --> 01:02:09,330 And they come with these answers under pressure 1686 01:02:09,330 --> 01:02:15,050 which were just not the right answers by a long shot. 1687 01:02:15,050 --> 01:02:17,580 So how you ask questions, who you ask questions to, 1688 01:02:17,580 --> 01:02:19,040 the environment you ask questions-- 1689 01:02:19,040 --> 01:02:20,660 it may not always be this extreme 1690 01:02:20,660 --> 01:02:25,370 where someone says alligator for a three letter animal. 1691 01:02:25,370 --> 01:02:28,020 But you will get shades of differences-- shades 1692 01:02:28,020 --> 01:02:28,544 of meaning. 1693 01:02:28,544 --> 01:02:29,960 Sometime who is very stressed will 1694 01:02:29,960 --> 01:02:31,260 provide really bad answers. 1695 01:02:31,260 --> 01:02:33,770 If you're really, really-- I get test anxiety. 1696 01:02:33,770 --> 01:02:39,390 So when I took my tests in grad school 1697 01:02:39,390 --> 01:02:41,520 I went to support services and got time and a half 1698 01:02:41,520 --> 01:02:42,620 because I couldn't do it. 1699 01:02:42,620 --> 01:02:45,810 I'd be there and I would look at these problems 1700 01:02:45,810 --> 01:02:48,757 and the information would empty out of my mind. 1701 01:02:48,757 --> 01:02:50,090 I just was too anxious to do it. 1702 01:02:52,874 --> 01:02:55,040 Like other people, you will get different responses. 1703 01:02:55,040 --> 01:02:59,100 So how you conduct your research is really important. 1704 01:02:59,100 --> 01:03:01,990 So one of the various ways we can research. 1705 01:03:01,990 --> 01:03:04,157 Let's talk about this. 1706 01:03:04,157 --> 01:03:05,740 If it was 1960, and we wanted to learn 1707 01:03:05,740 --> 01:03:08,100 to cook like a French chef, what would we do? 1708 01:03:08,100 --> 01:03:09,742 What could we do? 1709 01:03:09,742 --> 01:03:10,700 AUDIENCE: Go to France. 1710 01:03:10,700 --> 01:03:11,790 PROFESSOR: Go to France? 1711 01:03:11,790 --> 01:03:13,050 Just go to France? 1712 01:03:13,050 --> 01:03:14,841 And you just happened to have the knowledge 1713 01:03:14,841 --> 01:03:15,859 by going to France. 1714 01:03:15,859 --> 01:03:17,400 Yeah. if you start smoking, you get-- 1715 01:03:17,400 --> 01:03:18,322 [GRUMBLES] 1716 01:03:18,322 --> 01:03:20,655 You walk down the street, and you just happened to know. 1717 01:03:20,655 --> 01:03:21,155 No. 1718 01:03:21,155 --> 01:03:22,120 What else do you do? 1719 01:03:22,120 --> 01:03:23,305 AUDIENCE: Talk to the chefs there. 1720 01:03:23,305 --> 01:03:24,380 PROFESSOR: Talks to the Chefs there. 1721 01:03:24,380 --> 01:03:24,680 Sure. 1722 01:03:24,680 --> 01:03:25,752 What else could you do? 1723 01:03:25,752 --> 01:03:27,080 AUDIENCE: What about French cooking school? 1724 01:03:27,080 --> 01:03:28,680 PROFESSOR: Go to French cooking school. 1725 01:03:28,680 --> 01:03:29,680 AUDIENCE: Watch Julia Child. 1726 01:03:29,680 --> 01:03:30,888 PROFESSOR: Watch Julia Child. 1727 01:03:30,888 --> 01:03:31,630 Absolutely. 1728 01:03:31,630 --> 01:03:34,270 Watch her show called The French Chef. 1729 01:03:34,270 --> 01:03:34,770 Yes. 1730 01:03:34,770 --> 01:03:36,090 This is good. 1731 01:03:36,090 --> 01:03:37,130 1848. 1732 01:03:37,130 --> 01:03:40,717 The best way to conduct a defensive military retaliation. 1733 01:03:40,717 --> 01:03:42,060 AUDIENCE: Go to military school. 1734 01:03:42,060 --> 01:03:43,200 PROFESSOR: Military school. 1735 01:03:43,200 --> 01:03:43,700 Yes. 1736 01:03:43,700 --> 01:03:46,520 Look at the what's happened before in history. 1737 01:03:46,520 --> 01:03:47,180 1990s. 1738 01:03:47,180 --> 01:03:48,800 The best way to clean a kitchen. 1739 01:03:48,800 --> 01:03:50,680 We want to make the best way to clean the kitchens in the '90s. 1740 01:03:50,680 --> 01:03:51,263 What do we do? 1741 01:03:53,782 --> 01:03:54,740 AUDIENCE: Ask your mom. 1742 01:03:54,740 --> 01:03:55,835 PROFESSOR: Ask your mom. 1743 01:03:55,835 --> 01:03:57,540 If not, just ask your mom, however, you 1744 01:03:57,540 --> 01:03:58,987 could also do what? 1745 01:03:58,987 --> 01:03:59,820 AUDIENCE: Watch her. 1746 01:03:59,820 --> 01:04:00,760 PROFESSOR: Watch her. 1747 01:04:00,760 --> 01:04:02,640 Yes. 1748 01:04:02,640 --> 01:04:03,694 2013. 1749 01:04:03,694 --> 01:04:05,360 You want to save money on a call center. 1750 01:04:05,360 --> 01:04:07,330 This call center handles technical issues 1751 01:04:07,330 --> 01:04:10,840 for customer complaints for satellite television. 1752 01:04:10,840 --> 01:04:11,868 What can you do? 1753 01:04:11,868 --> 01:04:13,192 AUDIENCE: Internet. 1754 01:04:13,192 --> 01:04:15,150 PROFESSOR: What would you do with the internet? 1755 01:04:15,150 --> 01:04:16,370 AUDIENCE: Just search for it. 1756 01:04:16,370 --> 01:04:18,485 PROFESSOR: Search for what has been done to save money 1757 01:04:18,485 --> 01:04:20,050 in call centers that have these issues? 1758 01:04:20,050 --> 01:04:21,425 I don't think you're going to get 1759 01:04:21,425 --> 01:04:23,566 a whole lot of good responses. 1760 01:04:23,566 --> 01:04:24,490 AUDIENCE: Outsource. 1761 01:04:24,490 --> 01:04:26,026 PROFESSOR: Outsource what? 1762 01:04:26,026 --> 01:04:27,417 AUDIENCE: The people answering-- 1763 01:04:27,417 --> 01:04:29,000 PROFESSOR: How would you learn though? 1764 01:04:29,000 --> 01:04:31,647 How would you research this? 1765 01:04:31,647 --> 01:04:32,730 Have a consulting economy. 1766 01:04:32,730 --> 01:04:33,997 What would they do? 1767 01:04:33,997 --> 01:04:35,663 AUDIENCE: They would go out and probably 1768 01:04:35,663 --> 01:04:38,670 talk to other people who have done similar things in order 1769 01:04:38,670 --> 01:04:39,170 to--? 1770 01:04:39,170 --> 01:04:39,310 PROFESSOR: Yes. 1771 01:04:39,310 --> 01:04:40,830 They could talk to other people who had similar problems, 1772 01:04:40,830 --> 01:04:42,454 but what about this one particular call 1773 01:04:42,454 --> 01:04:45,866 center for satellite TV, located in Denver? 1774 01:04:45,866 --> 01:04:47,570 AUDIENCE: Look at its budget. 1775 01:04:47,570 --> 01:04:48,210 PROFESSOR: Look it's budget. 1776 01:04:48,210 --> 01:04:49,634 What would you learn from the budget? 1777 01:04:49,634 --> 01:04:51,610 AUDIENCE: Seeing where the most money is going? 1778 01:04:51,610 --> 01:04:53,030 PROFESSOR: Well, we know that a lot of money 1779 01:04:53,030 --> 01:04:53,760 is going to this thing. 1780 01:04:53,760 --> 01:04:55,410 How do we have them save money on this one particular part 1781 01:04:55,410 --> 01:04:56,423 of the call center? 1782 01:04:56,423 --> 01:04:58,006 AUDIENCE: Reduce the number of workers 1783 01:04:58,006 --> 01:04:59,530 by having an automatic system. 1784 01:04:59,530 --> 01:05:00,470 PROFESSOR: Reduce the number of workers 1785 01:05:00,470 --> 01:05:02,470 by having an automatic system, but how would you 1786 01:05:02,470 --> 01:05:04,457 know what the automatic system should be doing? 1787 01:05:04,457 --> 01:05:06,040 AUDIENCE: Look at what the workers do. 1788 01:05:06,040 --> 01:05:07,665 PROFESSOR: Look at what the workers do. 1789 01:05:07,665 --> 01:05:08,476 By what method? 1790 01:05:08,476 --> 01:05:08,960 AUDIENCE: Watch them. 1791 01:05:08,960 --> 01:05:09,876 PROFESSOR: Watch them. 1792 01:05:09,876 --> 01:05:10,800 Absolutely. 1793 01:05:10,800 --> 01:05:13,790 Actually sit down there and watch the workers. 1794 01:05:13,790 --> 01:05:14,445 2015. 1795 01:05:14,445 --> 01:05:16,820 The decision to develop an extremely new type of consumer 1796 01:05:16,820 --> 01:05:19,540 product, like when people had to develop the iPad before they 1797 01:05:19,540 --> 01:05:20,340 developed the iPad. 1798 01:05:20,340 --> 01:05:23,219 What would you do? 1799 01:05:23,219 --> 01:05:24,260 AUDIENCE: Talk to people. 1800 01:05:24,260 --> 01:05:28,285 PROFESSOR: Talk to people and ask them what they want? 1801 01:05:28,285 --> 01:05:29,390 What would you ask them? 1802 01:05:29,390 --> 01:05:31,030 What would you ask people to figure out 1803 01:05:31,030 --> 01:05:33,000 that brand new product that's different than anything 1804 01:05:33,000 --> 01:05:33,660 ever before it. 1805 01:05:33,660 --> 01:05:34,522 AUDIENCE: You talk about what they actually 1806 01:05:34,522 --> 01:05:36,410 want like why they use iPads. 1807 01:05:36,410 --> 01:05:40,515 Maybe they want something easy in front of them to touch. 1808 01:05:40,515 --> 01:05:41,140 PROFESSOR: Yes. 1809 01:05:41,140 --> 01:05:42,610 So to get the underlying mechanisms. 1810 01:05:42,610 --> 01:05:43,109 Yes. 1811 01:05:43,109 --> 01:05:47,060 So we have expert education here, as he said, correctly. 1812 01:05:47,060 --> 01:05:49,420 Historical and cultural explanations, as you 1813 01:05:49,420 --> 01:05:50,490 said correctly. 1814 01:05:50,490 --> 01:05:51,937 Ethnographic research, as she said 1815 01:05:51,937 --> 01:05:54,270 about observing someone actually performing these tasks. 1816 01:05:54,270 --> 01:05:55,853 This is how the Swiffer was developed. 1817 01:05:55,853 --> 01:06:00,200 They had people with cameras watching people clean and mop 1818 01:06:00,200 --> 01:06:00,924 their floors. 1819 01:06:00,924 --> 01:06:03,090 And they thought, oh wait, they do all these things. 1820 01:06:03,090 --> 01:06:04,340 The water gets dirty and all this stuff. 1821 01:06:04,340 --> 01:06:05,839 And they could develop these ideas-- 1822 01:06:05,839 --> 01:06:07,690 the wet Swiffer and the dry Swiffer. 1823 01:06:07,690 --> 01:06:09,020 Here, direct observation. 1824 01:06:09,020 --> 01:06:10,910 Sit there and listen to those calls coming 1825 01:06:10,910 --> 01:06:13,740 into the call center, which I did. 1826 01:06:13,740 --> 01:06:16,510 And I heard them say things. 1827 01:06:16,510 --> 01:06:17,802 I sat down next to this person. 1828 01:06:17,802 --> 01:06:19,843 You know when they say the calls may be monitored 1829 01:06:19,843 --> 01:06:21,680 for quality control or quality assurance? 1830 01:06:21,680 --> 01:06:24,190 Well, that was me sitting next to her, 1831 01:06:24,190 --> 01:06:25,810 jacked into the same box. 1832 01:06:25,810 --> 01:06:27,768 And I said, I'm just going to hear what you do. 1833 01:06:27,768 --> 01:06:28,700 First call comes in. 1834 01:06:28,700 --> 01:06:33,960 I've got a problem with my TV thing. 1835 01:06:33,960 --> 01:06:35,940 I can't get this station and she'd 1836 01:06:35,940 --> 01:06:37,190 have a very interesting thing. 1837 01:06:37,190 --> 01:06:37,800 Did you diagnose it? 1838 01:06:37,800 --> 01:06:38,420 She'd work with them. 1839 01:06:38,420 --> 01:06:39,760 20 minutes later, it'd be done. 1840 01:06:39,760 --> 01:06:40,990 The next call would come in. 1841 01:06:40,990 --> 01:06:42,590 I've got this black screen. 1842 01:06:42,590 --> 01:06:44,830 She's like, oh, we'll, can you go in 1843 01:06:44,830 --> 01:06:46,250 and unplug it and plug it back in. 1844 01:06:46,250 --> 01:06:47,881 Sure. 1845 01:06:47,881 --> 01:06:49,160 Hey, it's working now. 1846 01:06:49,160 --> 01:06:50,240 Great. 1847 01:06:50,240 --> 01:06:51,460 Next call comes in. 1848 01:06:51,460 --> 01:06:53,637 I've got this really strange problem. 1849 01:06:53,637 --> 01:06:56,220 I was getting these channels but now I'm not getting anything. 1850 01:06:56,220 --> 01:06:58,220 She'd diagnose it and send it a restart signal. 1851 01:06:58,220 --> 01:06:58,830 It would work. 1852 01:06:58,830 --> 01:06:59,996 The next call would come in. 1853 01:06:59,996 --> 01:07:01,700 I've got this snowy screen. 1854 01:07:01,700 --> 01:07:03,300 She'd say, can you unplug it. 1855 01:07:03,300 --> 01:07:03,827 Yes. 1856 01:07:03,827 --> 01:07:04,660 And plug it back in. 1857 01:07:04,660 --> 01:07:05,322 Yes. 1858 01:07:05,322 --> 01:07:06,030 How's it working? 1859 01:07:06,030 --> 01:07:06,710 Works great. 1860 01:07:06,710 --> 01:07:08,590 Perfect. 1861 01:07:08,590 --> 01:07:10,150 Every other call. 1862 01:07:10,150 --> 01:07:11,500 Every other call. 1863 01:07:11,500 --> 01:07:12,060 Black screen. 1864 01:07:12,060 --> 01:07:12,715 Snowy screen. 1865 01:07:12,715 --> 01:07:13,020 Black screen. 1866 01:07:13,020 --> 01:07:13,520 Snowy screen. 1867 01:07:13,520 --> 01:07:13,950 Unplug it. 1868 01:07:13,950 --> 01:07:14,670 Plug it back in. 1869 01:07:14,670 --> 01:07:16,605 Resolved. 1870 01:07:16,605 --> 01:07:17,480 What's going on here. 1871 01:07:17,480 --> 01:07:20,620 I said, how do you know that's the problem. 1872 01:07:20,620 --> 01:07:23,500 Oh, because the installers say don't turn off the box. 1873 01:07:23,500 --> 01:07:24,916 They'd say you don't have to worry 1874 01:07:24,916 --> 01:07:27,024 about turning off the box. 1875 01:07:27,024 --> 01:07:29,440 Turns out if you don't turn off the box every week or two, 1876 01:07:29,440 --> 01:07:30,980 eventually it will want an update, 1877 01:07:30,980 --> 01:07:34,690 not get it, and produce a black or snowy screen. 1878 01:07:34,690 --> 01:07:36,627 And so she knew to do that. 1879 01:07:36,627 --> 01:07:38,210 They were given incorrect instructions 1880 01:07:38,210 --> 01:07:40,557 by the people who installed the box. 1881 01:07:40,557 --> 01:07:42,140 And she gave them better instructions. 1882 01:07:42,140 --> 01:07:43,386 Well, kind of better. 1883 01:07:43,386 --> 01:07:45,510 The better instructions we're actually, by the way, 1884 01:07:45,510 --> 01:07:47,620 you'll have to do this periodically, 1885 01:07:47,620 --> 01:07:50,650 even if the installer told you you didn't have to do. 1886 01:07:50,650 --> 01:07:53,340 So here by observing that, we figured out 1887 01:07:53,340 --> 01:07:56,880 that 30% of the calls to this particular part of the call 1888 01:07:56,880 --> 01:08:00,270 center were for a black or snowy screen. 1889 01:08:00,270 --> 01:08:03,181 Automation was introduced, as you said-- who was it? 1890 01:08:03,181 --> 01:08:03,680 Yes. 1891 01:08:03,680 --> 01:08:04,380 Correctly. 1892 01:08:04,380 --> 01:08:06,380 Automation was introduced to solve this problem. 1893 01:08:06,380 --> 01:08:09,285 The first question was, are you experiencing a black or snowy 1894 01:08:09,285 --> 01:08:10,314 screen. 1895 01:08:10,314 --> 01:08:10,991 No. 1896 01:08:10,991 --> 01:08:11,490 All right. 1897 01:08:11,490 --> 01:08:14,030 Let me give-- Yes. 1898 01:08:14,030 --> 01:08:14,624 Great. 1899 01:08:14,624 --> 01:08:17,040 Unplug it and plug it back in and let's see if that helps. 1900 01:08:17,040 --> 01:08:17,956 I'll stay on the line. 1901 01:08:17,956 --> 01:08:19,810 When you're ready, just say I'm ready. 1902 01:08:19,810 --> 01:08:20,960 And people would do that. 1903 01:08:20,960 --> 01:08:21,950 They'd say I'm ready. 1904 01:08:21,950 --> 01:08:22,090 Great. 1905 01:08:22,090 --> 01:08:22,979 Did that solve the problem? 1906 01:08:22,979 --> 01:08:23,550 Yes. 1907 01:08:23,550 --> 01:08:24,630 Alright. 1908 01:08:24,630 --> 01:08:26,840 You need to turn this off, periodically, 1909 01:08:26,840 --> 01:08:28,507 like once a week or two. 1910 01:08:28,507 --> 01:08:30,090 otherwise you'll get the same problem, 1911 01:08:30,090 --> 01:08:33,080 even if the installer told you you didn't have to. 1912 01:08:33,080 --> 01:08:34,990 So that's how you solve a problem. 1913 01:08:34,990 --> 01:08:36,810 Observation. 1914 01:08:36,810 --> 01:08:37,736 This is the hard one. 1915 01:08:37,736 --> 01:08:39,569 And this is exactly what you're alluding to. 1916 01:08:39,569 --> 01:08:41,200 A deep understanding of humans. 1917 01:08:41,200 --> 01:08:41,850 What they want. 1918 01:08:41,850 --> 01:08:43,819 What their real desires are-- technology, culture, 1919 01:08:43,819 --> 01:08:46,390 manufacturing, philosophy, art, design, and everything else. 1920 01:08:46,390 --> 01:08:48,515 When you want something really radically innovative 1921 01:08:48,515 --> 01:08:50,270 you need to understand a lot about a lot. 1922 01:08:50,270 --> 01:08:52,394 And while you're in school, you have an opportunity 1923 01:08:52,394 --> 01:08:54,399 to learn a lot about the a lot. 1924 01:08:54,399 --> 01:08:56,060 So take advantage of doing that. 1925 01:08:56,060 --> 01:09:01,060 Steve Jobs sat in on a calligraphy class. 1926 01:09:01,060 --> 01:09:04,010 And that's why the first Macintoshes had fonts. 1927 01:09:04,010 --> 01:09:06,100 Before, there were no fonts in computers. 1928 01:09:06,100 --> 01:09:07,010 But he didn't have this experience 1929 01:09:07,010 --> 01:09:09,250 of what a font can do and change meaning of something 1930 01:09:09,250 --> 01:09:11,775 and he wanted that in that first Macintosh computer because 1931 01:09:11,775 --> 01:09:15,670 of the experiences of sitting in on a calligraphy class. 1932 01:09:15,670 --> 01:09:16,750 Have more experiences. 1933 01:09:16,750 --> 01:09:20,580 Understand everything about culture, technology, art, 1934 01:09:20,580 --> 01:09:22,399 design, philosophy. 1935 01:09:22,399 --> 01:09:23,930 It'll make you better at designing 1936 01:09:23,930 --> 01:09:25,214 very technical systems. 1937 01:09:28,520 --> 01:09:31,330 Any questions about that? 1938 01:09:31,330 --> 01:09:34,606 AUDIENCE: I would actually disagree with that last point. 1939 01:09:34,606 --> 01:09:36,625 You get more innovation by just trying 100 ideas 1940 01:09:36,625 --> 01:09:37,711 and seeing what sticks. 1941 01:09:37,711 --> 01:09:39,710 PROFESSOR: You think you can get more innovation 1942 01:09:39,710 --> 01:09:41,729 by trying 100 ideas and seeing what sticks? 1943 01:09:41,729 --> 01:09:43,812 AUDIENCE: Yeah. [INAUDIBLE] that make great things 1944 01:09:43,812 --> 01:09:45,729 and have no idea what they're doing. 1945 01:09:45,729 --> 01:09:46,790 PROFESSOR: You think people who make 1946 01:09:46,790 --> 01:09:48,664 great things have no idea what they're doing? 1947 01:09:48,664 --> 01:09:51,417 AUDIENCE: In some cases, yeah. 1948 01:09:51,417 --> 01:09:53,125 PROFESSOR: Can you give me some examples? 1949 01:09:53,125 --> 01:09:54,124 AUDIENCE: Some examples. 1950 01:09:54,124 --> 01:09:55,791 If you think of a product like Facebook. 1951 01:09:55,791 --> 01:09:56,624 PROFESSOR: Facebook. 1952 01:09:56,624 --> 01:09:58,340 He had no idea what he was doing? 1953 01:09:58,340 --> 01:10:00,173 AUDIENCE: Yeah, he was doing something cool. 1954 01:10:00,173 --> 01:10:02,630 Ended up making a lot of money later on by [INAUDIBLE]. 1955 01:10:02,630 --> 01:10:03,060 PROFESSOR: Making money. 1956 01:10:03,060 --> 01:10:03,900 But that wasn't the objective. 1957 01:10:03,900 --> 01:10:05,775 The objective was to make something cool. 1958 01:10:05,775 --> 01:10:07,185 AUDIENCE: [INAUDIBLE]. 1959 01:10:07,185 --> 01:10:09,310 PROFESSOR: But he didn't try 100 different designs. 1960 01:10:09,310 --> 01:10:09,885 Did he? 1961 01:10:09,885 --> 01:10:12,872 He didn't just try a 100 designs and see what stuck. 1962 01:10:12,872 --> 01:10:15,040 AUDIENCE: They updated code twice a day. 1963 01:10:15,040 --> 01:10:17,165 PROFESSOR: That's not trying 100 different designs. 1964 01:10:17,165 --> 01:10:19,270 Facebook has maintained-- its core origin, 1965 01:10:19,270 --> 01:10:20,810 at the very beginning, was a rating. 1966 01:10:20,810 --> 01:10:21,310 Hot or not. 1967 01:10:21,310 --> 01:10:21,640 Right? 1968 01:10:21,640 --> 01:10:22,630 So like, hot or not. 1969 01:10:22,630 --> 01:10:23,992 You would just rate people. 1970 01:10:23,992 --> 01:10:25,700 Then you started being able to post more. 1971 01:10:25,700 --> 01:10:27,340 And it involved. 1972 01:10:27,340 --> 01:10:29,510 And when it evolved to a certain point, then 1973 01:10:29,510 --> 01:10:32,040 it became particularly big. 1974 01:10:32,040 --> 01:10:33,800 But it wasn't that they tried 100 designs. 1975 01:10:33,800 --> 01:10:36,466 No one sat there and said, let's observe 100 different things we 1976 01:10:36,466 --> 01:10:39,720 could be doing for Facebook and say, let's see what sticks. 1977 01:10:39,720 --> 01:10:41,600 People don't often do that. 1978 01:10:41,600 --> 01:10:43,250 It's also very costly and expensive 1979 01:10:43,250 --> 01:10:44,770 to try 100 different designs. 1980 01:10:44,770 --> 01:10:47,270 AUDIENCE: If you look at how they do agent testing everyday? 1981 01:10:47,270 --> 01:10:47,895 PROFESSOR: Yes. 1982 01:10:47,895 --> 01:10:49,470 But that's making small decisions. 1983 01:10:49,470 --> 01:10:51,150 But not radically different things. 1984 01:10:51,150 --> 01:10:55,080 We're talking about technology that's never been seen before. 1985 01:10:55,080 --> 01:10:56,800 A completely new type of user experience. 1986 01:10:56,800 --> 01:10:59,060 Something that's never been tried before. 1987 01:10:59,060 --> 01:11:00,330 Derivative things, absolutely. 1988 01:11:00,330 --> 01:11:01,570 You can do ABN testing. 1989 01:11:01,570 --> 01:11:04,200 You can test 100,000 variations in an hour 1990 01:11:04,200 --> 01:11:06,120 and see which ones people used and which 1991 01:11:06,120 --> 01:11:07,890 ones they took longer to use. 1992 01:11:07,890 --> 01:11:09,544 But that's for small changes. 1993 01:11:09,544 --> 01:11:11,960 Not when you're doing something completely radical and new 1994 01:11:11,960 --> 01:11:13,585 and very different and very innovative. 1995 01:11:16,376 --> 01:11:18,792 AUDIENCE: I just wanted to support his point a little bit. 1996 01:11:18,792 --> 01:11:21,768 I don't think that anyone who designs 1997 01:11:21,768 --> 01:11:25,736 these really good products sits down one day and realizes, 1998 01:11:25,736 --> 01:11:28,712 given everything I know about art, technology, society, etc, 1999 01:11:28,712 --> 01:11:30,106 this is how it should be. 2000 01:11:30,106 --> 01:11:31,355 PROFESSOR: You don't think so? 2001 01:11:31,355 --> 01:11:32,450 AUDIENCE: No, I don't. 2002 01:11:32,450 --> 01:11:33,570 PROFESSOR: If you were to design something, 2003 01:11:33,570 --> 01:11:35,992 you wouldn't think that it was the amalgam of everything 2004 01:11:35,992 --> 01:11:37,450 you've learned in your life so far? 2005 01:11:37,450 --> 01:11:38,222 AUDIENCE: No, no. 2006 01:11:38,222 --> 01:11:41,122 It wouldn't just come at once. 2007 01:11:41,122 --> 01:11:42,580 PROFESSOR: It may not come at once. 2008 01:11:42,580 --> 01:11:44,121 AUDIENCE: Unlike the other examples-- 2009 01:11:44,121 --> 01:11:47,390 in the other examples, you narrowed down the [INAUDIBLE] 2010 01:11:47,390 --> 01:11:49,285 because you realized this causes this. 2011 01:11:49,285 --> 01:11:50,160 PROFESSOR: Oh, right. 2012 01:11:50,160 --> 01:11:51,201 It is not a good example. 2013 01:11:51,201 --> 01:11:51,860 Exactly. 2014 01:11:51,860 --> 01:11:52,580 That is true. 2015 01:11:52,580 --> 01:11:54,234 But it is the synthesis of everything 2016 01:11:54,234 --> 01:11:55,150 you've learned so far. 2017 01:11:55,150 --> 01:11:55,480 Right? 2018 01:11:55,480 --> 01:11:56,146 AUDIENCE: Right. 2019 01:11:56,146 --> 01:12:00,480 But the process of getting to the design that you get to 2020 01:12:00,480 --> 01:12:01,459 is a meandering. 2021 01:12:01,459 --> 01:12:02,250 PROFESSOR: Oh, yes. 2022 01:12:02,250 --> 01:12:03,550 You may take a long time to get to that design. 2023 01:12:03,550 --> 01:12:04,000 Absolutely. 2024 01:12:04,000 --> 01:12:04,490 Yes. 2025 01:12:04,490 --> 01:12:06,073 But it is the idea that, if you-- I'll 2026 01:12:06,073 --> 01:12:07,290 bring this slide up again. 2027 01:12:10,720 --> 01:12:13,429 If you don't have a deep understanding of people, 2028 01:12:13,429 --> 01:12:15,720 you're not going to design things really well for them. 2029 01:12:15,720 --> 01:12:17,490 If you don't understand how the technology works, 2030 01:12:17,490 --> 01:12:19,573 you won't be able to make something that's useful, 2031 01:12:19,573 --> 01:12:21,450 that people enjoy interacting with that 2032 01:12:21,450 --> 01:12:22,910 takes advantage of the technology. 2033 01:12:22,910 --> 01:12:24,390 If you don't understand about the culture 2034 01:12:24,390 --> 01:12:25,630 it may be the wrong time to introduce it 2035 01:12:25,630 --> 01:12:26,421 to a certain place. 2036 01:12:26,421 --> 01:12:30,180 If the iPad was launched in a poor country where they could 2037 01:12:30,180 --> 01:12:32,461 never afford it, then it may not be very popular. 2038 01:12:32,461 --> 01:12:34,460 Or a place where there wasn't internet reception 2039 01:12:34,460 --> 01:12:35,129 for some reason. 2040 01:12:35,129 --> 01:12:37,670 Or if you don't understand about how to manufacture something 2041 01:12:37,670 --> 01:12:39,760 like that, then it gets very clunky. 2042 01:12:39,760 --> 01:12:41,790 If you don't understand about art or design, 2043 01:12:41,790 --> 01:12:44,300 how do you make something that's aesthetically pleasing 2044 01:12:44,300 --> 01:12:45,214 and sustainable? 2045 01:12:45,214 --> 01:12:46,880 So that's why the idea is to synthesize. 2046 01:12:46,880 --> 01:12:47,580 And yes. 2047 01:12:47,580 --> 01:12:49,620 It takes a long time to get there. 2048 01:12:49,620 --> 01:12:52,275 That's why creativity gets better as you get older. 2049 01:12:52,275 --> 01:12:55,660 The older you get, the more creative you will get. 2050 01:12:55,660 --> 01:12:57,160 You don't get worse with creativity. 2051 01:12:57,160 --> 01:12:58,617 It gets better. 2052 01:12:58,617 --> 01:13:00,450 Because you know more and you have more life 2053 01:13:00,450 --> 01:13:03,930 experiences that you can synthesize. 2054 01:13:03,930 --> 01:13:05,030 Other questions? 2055 01:13:05,030 --> 01:13:07,012 Or comments? 2056 01:13:07,012 --> 01:13:08,428 AUDIENCE: I feel like it goes back 2057 01:13:08,428 --> 01:13:11,055 to the conversation we had about intention. 2058 01:13:11,055 --> 01:13:11,930 PROFESSOR: Intention. 2059 01:13:11,930 --> 01:13:13,620 The idea of intention. 2060 01:13:13,620 --> 01:13:15,860 AUDIENCE: -and what you intended it to do. 2061 01:13:15,860 --> 01:13:19,635 I feel like it does require the deep understanding 2062 01:13:19,635 --> 01:13:22,970 of certain things depending on what your design is. 2063 01:13:22,970 --> 01:13:25,155 But it's like what you said, it can 2064 01:13:25,155 --> 01:13:27,270 evolve into different things and that 2065 01:13:27,270 --> 01:13:32,895 might mean you will look for more understanding of humans 2066 01:13:32,895 --> 01:13:36,830 and manufacturing maybe later on depending on where the design-- 2067 01:13:36,830 --> 01:13:38,520 PROFESSOR: So you'll keep evolving that. 2068 01:13:38,520 --> 01:13:39,020 Absolutely. 2069 01:13:39,020 --> 01:13:40,895 You will definitely keep evolving your ideas. 2070 01:13:40,895 --> 01:13:42,190 Joel. 2071 01:13:42,190 --> 01:13:44,315 PROFESSOR JOEL SCHINDALL: Just to add a little bit, 2072 01:13:44,315 --> 01:13:47,690 I hope you're not falling into the school idea 2073 01:13:47,690 --> 01:13:51,940 that these questions have right and wrong answers. 2074 01:13:51,940 --> 01:13:53,940 These are thought provoking. 2075 01:13:53,940 --> 01:13:56,350 They're to get you thinking about things. 2076 01:13:56,350 --> 01:13:59,080 They're to challenge your assumptions. 2077 01:13:59,080 --> 01:14:02,120 Some of them are absolutely ridiculous. 2078 01:14:02,120 --> 01:14:05,280 But without looking at that, it doesn't give you 2079 01:14:05,280 --> 01:14:08,360 the perspective that you're getting at. 2080 01:14:08,360 --> 01:14:10,862 I think you've probably done this in other sorts of classes 2081 01:14:10,862 --> 01:14:12,570 but it's a different type of perspective. 2082 01:14:12,570 --> 01:14:14,750 And to get the most value out of it 2083 01:14:14,750 --> 01:14:17,750 you need to set aside-- by the way, the people who 2084 01:14:17,750 --> 01:14:20,420 are answering, I also want to really hand it to you. 2085 01:14:20,420 --> 01:14:22,170 Put yourself out there. 2086 01:14:22,170 --> 01:14:24,891 Throw it out even if it's-- there are not right and wrong 2087 01:14:24,891 --> 01:14:25,390 answers. 2088 01:14:25,390 --> 01:14:28,260 We need illustrations of the wrong answers-- 2089 01:14:28,260 --> 01:14:31,850 we need illustrations of the wide range 2090 01:14:31,850 --> 01:14:34,990 that people come up with answers about. 2091 01:14:34,990 --> 01:14:37,210 I think if you're sitting here in this class, 2092 01:14:37,210 --> 01:14:40,780 the answers that other people are giving 2093 01:14:40,780 --> 01:14:44,820 are a demonstration of the wide range of reactions 2094 01:14:44,820 --> 01:14:47,449 that people have to the same stimuli that you receive. 2095 01:14:47,449 --> 01:14:49,740 And you'll receive a stimulus and you'll say, oh, yeah, 2096 01:14:49,740 --> 01:14:50,760 of course that's true. 2097 01:14:50,760 --> 01:14:53,380 And someone else is going to say, I object violently. 2098 01:14:53,380 --> 01:14:55,990 Now that's worth knowing because that person's 2099 01:14:55,990 --> 01:14:57,780 giving an honest reaction. 2100 01:14:57,780 --> 01:14:59,360 PROFESSOR: The whole point of this 2101 01:14:59,360 --> 01:15:01,477 is to provoke your thinking. 2102 01:15:01,477 --> 01:15:02,935 To make you think deeper about this 2103 01:15:02,935 --> 01:15:04,600 and to set the stage for what you 2104 01:15:04,600 --> 01:15:06,660 will be doing over the course of the semester. 2105 01:15:06,660 --> 01:15:09,059 It is meant to challenge the ideas. 2106 01:15:09,059 --> 01:15:11,350 We ask a lot of questions about Dieter Rams' principles 2107 01:15:11,350 --> 01:15:13,980 and you'll be reflecting on that. 2108 01:15:13,980 --> 01:15:15,281 But these are ideas. 2109 01:15:15,281 --> 01:15:17,530 And they're not meant to say this is an equation where 2110 01:15:17,530 --> 01:15:20,010 when you put something in you get something out like this. 2111 01:15:20,010 --> 01:15:22,160 It's not deterministic that way. 2112 01:15:22,160 --> 01:15:24,560 Design is a very, very complicated thing. 2113 01:15:24,560 --> 01:15:26,810 That's why we talk about it for many different aspects 2114 01:15:26,810 --> 01:15:29,680 and different approaches to get you to think differently. 2115 01:15:29,680 --> 01:15:32,880 Because you'll be able to soon become much better at it 2116 01:15:32,880 --> 01:15:34,662 through that process. 2117 01:15:34,662 --> 01:15:38,316 AUDIENCE: So I know that 2.009 is a very artificial setting 2118 01:15:38,316 --> 01:15:39,816 because you're given a theme and you 2119 01:15:39,816 --> 01:15:42,027 have to design a product based on that theme. 2120 01:15:42,027 --> 01:15:45,960 But how do you think 2.009 and that process fits with-- 2121 01:15:45,960 --> 01:15:48,620 PROFESSOR: I don't know a whole lot about 2.009. 2122 01:15:48,620 --> 01:15:50,120 You said it's an artificial setting. 2123 01:15:50,120 --> 01:15:51,840 It's not that artificial. 2124 01:15:51,840 --> 01:15:55,550 There are companies that have innovation labs where they say, 2125 01:15:55,550 --> 01:15:58,249 we do something with our product in this space. 2126 01:15:58,249 --> 01:15:59,790 Can you do something with our product 2127 01:15:59,790 --> 01:16:01,890 that takes advantage of it somehow? 2128 01:16:01,890 --> 01:16:04,160 And people have to figure out, OK, what do I have. 2129 01:16:04,160 --> 01:16:05,240 What are the resources? 2130 01:16:05,240 --> 01:16:06,699 How much time do I have to do this? 2131 01:16:06,699 --> 01:16:08,198 Do I have an infinite amount of time 2132 01:16:08,198 --> 01:16:09,460 or a limited amount of time? 2133 01:16:09,460 --> 01:16:11,899 And they do that same process, just like you do in 2.009. 2134 01:16:11,899 --> 01:16:14,440 PROFESSOR JOEL SCHINDALL: Blade, let me comment on that also. 2135 01:16:14,440 --> 01:16:17,020 Design takes place at many, many levels. 2136 01:16:17,020 --> 01:16:20,120 And sometimes, you just have a group of flowers 2137 01:16:20,120 --> 01:16:22,170 and you're trying to make a floral design 2138 01:16:22,170 --> 01:16:24,270 and you're very restricted in what you can do, 2139 01:16:24,270 --> 01:16:26,439 but there is a methodology, there are rules. 2140 01:16:26,439 --> 01:16:27,980 You can put the big flowers-- I don't 2141 01:16:27,980 --> 01:16:29,729 know how to do a good one, so I better not 2142 01:16:29,729 --> 01:16:31,155 give you examples of that. 2143 01:16:31,155 --> 01:16:32,780 And on the other hand, sometimes you're 2144 01:16:32,780 --> 01:16:38,270 trying to do either a very complex technical system 2145 01:16:38,270 --> 01:16:41,170 or perhaps a complicated political process. 2146 01:16:41,170 --> 01:16:44,432 People design press briefings for presidential candidates. 2147 01:16:44,432 --> 01:16:45,140 It seems amazing. 2148 01:16:45,140 --> 01:16:46,660 It seems they're so bad it doesn't 2149 01:16:46,660 --> 01:16:48,520 seem as if it could be designed. 2150 01:16:48,520 --> 01:16:50,990 But it actually is very carefully 2151 01:16:50,990 --> 01:16:53,160 researched and designed. 2152 01:16:53,160 --> 01:16:56,190 Now 2.009 places itself kind of in the middle 2153 01:16:56,190 --> 01:16:57,310 of the design space. 2154 01:16:57,310 --> 01:17:00,840 It's more creative than just figuring out 2155 01:17:00,840 --> 01:17:03,160 how to assemble an erector set. 2156 01:17:03,160 --> 01:17:06,460 And it does encourage you to do some innovative thinking, 2157 01:17:06,460 --> 01:17:11,380 but not as much-- we're trying to go even one level higher 2158 01:17:11,380 --> 01:17:13,570 and something that will apply to everything you do 2159 01:17:13,570 --> 01:17:15,790 and just, what we call, design thinking. 2160 01:17:15,790 --> 01:17:19,200 And it will help you in 2.009, but it's not 2161 01:17:19,200 --> 01:17:21,910 as specifically applied to-- 2.009 2162 01:17:21,910 --> 01:17:23,950 is a mechanical engineering course for people 2163 01:17:23,950 --> 01:17:26,940 who intend to grow up and design mechanical things. 2164 01:17:26,940 --> 01:17:29,560 And so it focuses on that. 2165 01:17:29,560 --> 01:17:34,140 This is more for people who intend to deal with life issues 2166 01:17:34,140 --> 01:17:35,470 and come up with answers. 2167 01:17:35,470 --> 01:17:37,969 PROFESSOR: Whenever you have to do anything-- in my software 2168 01:17:37,969 --> 01:17:39,369 company, I apply these principles 2169 01:17:39,369 --> 01:17:41,410 to everything we do-- the ones I'm teaching you-- 2170 01:17:41,410 --> 01:17:44,880 to every aspect of it, whether it's to hiring, 2171 01:17:44,880 --> 01:17:47,760 to bring people on board, to figure out what they're going 2172 01:17:47,760 --> 01:17:50,310 to be doing the next week, how we're going to communicate 2173 01:17:50,310 --> 01:17:52,960 internally, how we're going to communicate externally, 2174 01:17:52,960 --> 01:17:56,220 which brings us to stakeholders. 2175 01:17:56,220 --> 01:17:56,720 Cul Bono. 2176 01:17:56,720 --> 01:17:57,900 What does it mean? 2177 01:17:57,900 --> 01:17:59,860 Anyone know? 2178 01:17:59,860 --> 01:18:00,820 Who benefits? 2179 01:18:00,820 --> 01:18:01,970 Who benefits? 2180 01:18:01,970 --> 01:18:03,840 So stakeholder. 2181 01:18:03,840 --> 01:18:06,100 Well the definition I get off the internet-- a person 2182 01:18:06,100 --> 01:18:08,620 or group that has an investment share interest in something. 2183 01:18:08,620 --> 01:18:10,620 We talk about stakeholders for your education-- 2184 01:18:10,620 --> 01:18:12,405 you or your family, teachers, school. 2185 01:18:12,405 --> 01:18:14,530 Who else could be a stakeholder for your education? 2186 01:18:14,530 --> 01:18:15,669 AUDIENCE: The community. 2187 01:18:15,669 --> 01:18:16,710 PROFESSOR: The community. 2188 01:18:16,710 --> 01:18:19,080 What community? 2189 01:18:19,080 --> 01:18:21,657 AUDIENCE: The one that you would benefit if you go-- 2190 01:18:21,657 --> 01:18:23,240 PROFESSOR: The community that benefits 2191 01:18:23,240 --> 01:18:24,731 when you go and do something. 2192 01:18:24,731 --> 01:18:25,230 What else? 2193 01:18:25,230 --> 01:18:26,136 AUDIENCE: Your employers. 2194 01:18:26,136 --> 01:18:27,240 PROFESSOR: The employers. 2195 01:18:27,240 --> 01:18:27,965 Yes. 2196 01:18:27,965 --> 01:18:30,001 And actually potential employers. 2197 01:18:30,001 --> 01:18:30,500 Who else? 2198 01:18:30,500 --> 01:18:31,570 AUDIENCE: The clients. 2199 01:18:31,570 --> 01:18:33,421 PROFESSOR: Clients. 2200 01:18:33,421 --> 01:18:35,670 When you're working at the employer you have a client. 2201 01:18:35,670 --> 01:18:38,160 Yes. 2202 01:18:38,160 --> 01:18:40,702 AUDIENCE: I think the government or the president in general. 2203 01:18:40,702 --> 01:18:42,784 PROFESSOR: The government or the president, or you 2204 01:18:42,784 --> 01:18:43,830 could say the country. 2205 01:18:43,830 --> 01:18:45,730 The country benefits. 2206 01:18:45,730 --> 01:18:46,320 Absolutely. 2207 01:18:46,320 --> 01:18:47,900 Who else? 2208 01:18:47,900 --> 01:18:49,608 AUDIENCE: I don't know if school includes 2209 01:18:49,608 --> 01:18:51,314 this, but your classmates. 2210 01:18:51,314 --> 01:18:52,230 PROFESSOR: Classmates. 2211 01:18:52,230 --> 01:18:52,348 Sure. 2212 01:18:52,348 --> 01:18:53,910 Tell me how your classmates benefit. 2213 01:18:53,910 --> 01:18:55,164 AUDIENCE: The more you bring to the table, 2214 01:18:55,164 --> 01:18:56,420 the more they're going to gain. 2215 01:18:56,420 --> 01:18:57,086 PROFESSOR: Yeah. 2216 01:18:57,086 --> 01:18:59,760 So when you have a certain cohort in a business school, 2217 01:18:59,760 --> 01:19:02,210 if there's people with different experiences, 2218 01:19:02,210 --> 01:19:05,020 they can bring new ideas and formats. 2219 01:19:05,020 --> 01:19:07,280 That's why we have discussions like this 2220 01:19:07,280 --> 01:19:08,874 at the beginning of the lectures. 2221 01:19:08,874 --> 01:19:11,040 You get more benefit because you hear someone's idea 2222 01:19:11,040 --> 01:19:12,470 that you hadn't thought about before because they 2223 01:19:12,470 --> 01:19:13,470 bring their perspective. 2224 01:19:16,320 --> 01:19:17,310 Here's a quick sketch. 2225 01:19:17,310 --> 01:19:19,700 Just a quick sketch of how you might 2226 01:19:19,700 --> 01:19:22,310 go about the process of writing out the stakeholders. 2227 01:19:22,310 --> 01:19:23,000 Flour Bakery. 2228 01:19:23,000 --> 01:19:24,109 Who knows it? 2229 01:19:24,109 --> 01:19:24,650 A lot of you. 2230 01:19:24,650 --> 01:19:26,990 So this is a great bakery, very close by. 2231 01:19:26,990 --> 01:19:29,960 And its owner is Joanne Chang, a friend of mine. 2232 01:19:29,960 --> 01:19:32,454 And Joanne owns a bakery. 2233 01:19:32,454 --> 01:19:34,370 So I'm going to say that this is in the center 2234 01:19:34,370 --> 01:19:36,900 and this is one of the primary stakeholders. 2235 01:19:36,900 --> 01:19:40,180 Workers would be another primary stakeholder of the bakery 2236 01:19:40,180 --> 01:19:44,090 because if the bakery's selling product they get paid. 2237 01:19:44,090 --> 01:19:47,780 There's a whole bunch of others, of course, that we can fill in. 2238 01:19:47,780 --> 01:19:52,460 Now we go from a secondary one to the workers' banks. 2239 01:19:52,460 --> 01:19:53,490 How do they benefit? 2240 01:19:53,490 --> 01:19:55,710 Well, the Flour Bakery gives the workers money. 2241 01:19:55,710 --> 01:19:58,050 The money goes into the banks. 2242 01:19:58,050 --> 01:19:59,600 So as we go through that process, 2243 01:19:59,600 --> 01:20:01,936 the bank begins to be able to get more money into them, 2244 01:20:01,936 --> 01:20:04,185 particularly a local bank, perhaps, that's being used. 2245 01:20:04,185 --> 01:20:05,560 And what's interesting about this 2246 01:20:05,560 --> 01:20:07,259 is there's a big profound effect. 2247 01:20:07,259 --> 01:20:08,800 What we're going to do is we're going 2248 01:20:08,800 --> 01:20:14,060 to have you do a quick sketch for Flour Bakery. 2249 01:20:14,060 --> 01:20:18,750 And what I want you to do is to do that system 2250 01:20:18,750 --> 01:20:20,910 with much more detail, right now in class. 2251 01:20:23,289 --> 01:20:24,830 And if you need to, you can use lines 2252 01:20:24,830 --> 01:20:26,350 to clarify what's happening. 2253 01:20:26,350 --> 01:20:28,480 Someone pays someone, like pay the workers, 2254 01:20:28,480 --> 01:20:31,940 or the bank receives cash as a result. 2255 01:20:31,940 --> 01:20:35,890 I want you to work in groups of three. 2256 01:20:35,890 --> 01:20:38,300 If you have paper, please draw this on paper. 2257 01:20:38,300 --> 01:20:41,510 And then, we'll project a few on the screen. 2258 01:20:41,510 --> 01:20:44,760 So tidiness doesn't really count as long as you can explain it. 2259 01:20:44,760 --> 01:20:48,840 And you'll have about 10 minutes to do it. 2260 01:20:48,840 --> 01:20:51,600 You can work with any people you want. 2261 01:20:51,600 --> 01:20:53,510 By now, the students are trying to figure out 2262 01:20:53,510 --> 01:20:55,430 how to map out a simple stakeholder diagram. 2263 01:20:55,430 --> 01:20:59,984 Now this is not a very full or robust stakeholder diagram. 2264 01:20:59,984 --> 01:21:01,650 It's just meant to get everyone thinking 2265 01:21:01,650 --> 01:21:04,470 about the system that's involved. 2266 01:21:04,470 --> 01:21:07,227 In a stakeholder analysis that's done really well, 2267 01:21:07,227 --> 01:21:09,310 you'd actually phase out all the different levels. 2268 01:21:09,310 --> 01:21:11,610 You'd think about all the different stakeholders 2269 01:21:11,610 --> 01:21:14,040 and where they lie in the spectrum of value, too. 2270 01:21:14,040 --> 01:21:16,650 Here we just want to make sure that students understand 2271 01:21:16,650 --> 01:21:18,080 the idea that things are connected 2272 01:21:18,080 --> 01:21:20,890 and that these connections can seem very distant. 2273 01:21:20,890 --> 01:21:24,200 But if they understand the connections and the space, 2274 01:21:24,200 --> 01:21:26,267 it can help them make better decisions later on. 2275 01:21:26,267 --> 01:21:29,190 And we'll be doing that in the next slides that we show. 2276 01:21:29,190 --> 01:21:32,650 We'll show what the students have done on the screen. 2277 01:21:32,650 --> 01:21:34,330 So the thing to look for in this is 2278 01:21:34,330 --> 01:21:36,050 to see if the students pick up on some 2279 01:21:36,050 --> 01:21:37,630 of the other more subtle aspects. 2280 01:21:37,630 --> 01:21:40,460 Are they going to think about things like legal system 2281 01:21:40,460 --> 01:21:44,220 or the accountant or people like that 2282 01:21:44,220 --> 01:21:47,075 who are direct benefits and every store 2283 01:21:47,075 --> 01:21:51,064 has to work with their legal people and their accountants, 2284 01:21:51,064 --> 01:21:53,230 but it doesn't seem like it often pops in the radar. 2285 01:21:53,230 --> 01:21:54,580 And this is where all these hidden costs 2286 01:21:54,580 --> 01:21:56,390 occur when someone's starting a business. 2287 01:21:56,390 --> 01:21:58,110 They think, well, this one's going to cost this much 2288 01:21:58,110 --> 01:22:00,130 or they're making a product that's only this expensive, 2289 01:22:00,130 --> 01:22:02,450 but there's everything else around that ecosystem. 2290 01:22:02,450 --> 01:22:05,830 And let's see if they pick up on this. 2291 01:22:13,450 --> 01:22:16,475 All right so let's go over your results. 2292 01:22:21,786 --> 01:22:23,160 Why don't we take yours to start? 2293 01:22:23,160 --> 01:22:24,035 Does that sound good? 2294 01:22:24,035 --> 01:22:25,440 STUDENT PRESENTER 1: Sounds good. 2295 01:22:25,440 --> 01:22:26,981 PROFESSOR: You can take care of this. 2296 01:22:30,160 --> 01:22:31,410 Let me know when you're ready. 2297 01:22:44,240 --> 01:22:45,890 So you're going to have to explain this 2298 01:22:45,890 --> 01:22:49,330 because it's hard to get the catch of this on here. 2299 01:22:49,330 --> 01:22:50,660 But it's OK. 2300 01:22:50,660 --> 01:22:51,670 Just walk us through it. 2301 01:22:51,670 --> 01:22:54,060 In fact, use the laser pointer-- this 2302 01:22:54,060 --> 01:22:56,610 is the red button here at the top-- to point out. 2303 01:22:56,610 --> 01:22:57,902 Tell us what we have over here. 2304 01:22:57,902 --> 01:22:59,568 STUDENT PRESENTER 1: So immediately, you 2305 01:22:59,568 --> 01:23:02,700 have the owner who benefits up here and also the employer. 2306 01:23:02,700 --> 01:23:04,384 And so from there, their banks benefit. 2307 01:23:04,384 --> 01:23:06,050 And that kind of leads into the economy. 2308 01:23:06,050 --> 01:23:08,216 PROFESSOR: Tell us about just the first level, right 2309 01:23:08,216 --> 01:23:09,950 around here. [INTERPOSING VOICES] 2310 01:23:09,950 --> 01:23:11,658 STUDENT PRESENTER 1: And so the suppliers 2311 01:23:11,658 --> 01:23:15,510 who supply the materials to Flour, furniture, ingredients, 2312 01:23:15,510 --> 01:23:17,192 and stuff like-- they benefit as well. 2313 01:23:17,192 --> 01:23:19,150 And then down here, you have neighboring stores 2314 01:23:19,150 --> 01:23:20,884 who benefit from the popularity of Flour, 2315 01:23:20,884 --> 01:23:21,925 bringing in more traffic. 2316 01:23:21,925 --> 01:23:22,500 PROFESSOR: Neighboring stores. 2317 01:23:22,500 --> 01:23:23,720 Really creative. 2318 01:23:23,720 --> 01:23:26,053 They'll benefit from the fact that it's a popular place. 2319 01:23:26,053 --> 01:23:26,810 Keep going. 2320 01:23:26,810 --> 01:23:28,010 STUDENT PRESENTER 1: And so competition here, 2321 01:23:28,010 --> 01:23:29,630 you can extrapolate, to them being 2322 01:23:29,630 --> 01:23:31,219 driven to produce better goods. 2323 01:23:31,219 --> 01:23:32,510 PROFESSOR: Wow, so competition. 2324 01:23:32,510 --> 01:23:33,140 That's very creative. 2325 01:23:33,140 --> 01:23:33,810 Keep going. 2326 01:23:33,810 --> 01:23:35,393 STUDENT PRESENTER 1: And this actually 2327 01:23:35,393 --> 01:23:37,874 feeds back in to customers who benefit from better quality. 2328 01:23:37,874 --> 01:23:40,290 PROFESSOR: I guess competition is a good drive out quality 2329 01:23:40,290 --> 01:23:41,980 from other bakeries who aren't starting to get good. 2330 01:23:41,980 --> 01:23:44,760 Flour has to get better or lower their prices or something. 2331 01:23:44,760 --> 01:23:45,260 Keep going. 2332 01:23:45,260 --> 01:23:45,600 STUDENT PRESENTER 1: Right. 2333 01:23:45,600 --> 01:23:48,330 And so the second level here, back to the banks-- 2334 01:23:48,330 --> 01:23:50,260 they benefit from both the owners 2335 01:23:50,260 --> 01:23:52,870 and the employers making income. 2336 01:23:52,870 --> 01:23:57,337 And then down here, you have friends slash the community. 2337 01:23:57,337 --> 01:23:58,920 Say you refer a friend and they really 2338 01:23:58,920 --> 01:24:01,310 like Flour, that's a benefit for them. 2339 01:24:01,310 --> 01:24:03,490 PROFESSOR: So it's a benefit for the customer 2340 01:24:03,490 --> 01:24:04,690 if I refer a friend. 2341 01:24:04,690 --> 01:24:06,921 It's a benefit to me if I refer you to go to Flour. 2342 01:24:06,921 --> 01:24:08,670 STUDENT PRESENTER 1: It's a benefit for me 2343 01:24:08,670 --> 01:24:10,770 if you refer me to Flour and I like it. 2344 01:24:10,770 --> 01:24:12,590 PROFESSOR: So you get the benefit. 2345 01:24:12,590 --> 01:24:14,250 But are you attached to me or are you 2346 01:24:14,250 --> 01:24:16,670 attaching directly to Flour? 2347 01:24:16,670 --> 01:24:19,086 In other words, do you benefit directly from Flour? 2348 01:24:19,086 --> 01:24:20,460 STUDENT PRESENTER 1: That's fair. 2349 01:24:20,460 --> 01:24:22,350 You could say that I definitely benefit from Flour 2350 01:24:22,350 --> 01:24:23,380 as well if I like it. 2351 01:24:23,380 --> 01:24:25,206 PROFESSOR: So maybe this kind of line 2352 01:24:25,206 --> 01:24:27,685 would be a dotted line-- provides information to, 2353 01:24:27,685 --> 01:24:28,756 and then directly from. 2354 01:24:28,756 --> 01:24:29,255 Sure. 2355 01:24:29,255 --> 01:24:30,960 Keep going. 2356 01:24:30,960 --> 01:24:33,810 STUDENT PRESENTER 1: And so naturally, the nearby community 2357 01:24:33,810 --> 01:24:37,157 also branches off from the neighboring stores. 2358 01:24:37,157 --> 01:24:39,240 One more thing we have over here is the publishers 2359 01:24:39,240 --> 01:24:41,850 because apparently Flour sells cookbooks and stuff like that. 2360 01:24:41,850 --> 01:24:43,225 PROFESSOR: Flour sells cookbooks. 2361 01:24:43,225 --> 01:24:44,580 There's a publisher involved. 2362 01:24:44,580 --> 01:24:46,234 And they love it. 2363 01:24:46,234 --> 01:24:48,650 The more Flour bakeries that are around or the more people 2364 01:24:48,650 --> 01:24:52,510 know about it the more cookbooks they buy. 2365 01:24:52,510 --> 01:24:54,910 STUDENT PRESENTER 1: And so this leads to the bookstores, 2366 01:24:54,910 --> 01:24:55,410 I think. 2367 01:24:55,410 --> 01:24:56,368 PROFESSOR: Book stores. 2368 01:24:56,368 --> 01:24:56,960 Absolutely. 2369 01:24:56,960 --> 01:24:58,310 STUDENT PRESENTER 1: And this actually feeds all the way back 2370 01:24:58,310 --> 01:24:59,430 to the economy. 2371 01:24:59,430 --> 01:25:00,350 And from the economy-- 2372 01:25:00,350 --> 01:25:03,039 PROFESSOR: The economy "boomph." 2373 01:25:03,039 --> 01:25:04,005 Giant. 2374 01:25:04,005 --> 01:25:05,200 The beneficiary. 2375 01:25:05,200 --> 01:25:05,890 That's great. 2376 01:25:05,890 --> 01:25:06,560 And what comes off the economy? 2377 01:25:06,560 --> 01:25:08,935 STUDENT PRESENTER 1: And so this is where we got creative 2378 01:25:08,935 --> 01:25:10,910 and said that the government, the president 2379 01:25:10,910 --> 01:25:13,380 benefits from the economy being strong. 2380 01:25:13,380 --> 01:25:15,740 And then you can even pull out the political parties 2381 01:25:15,740 --> 01:25:16,448 if you wanted to. 2382 01:25:16,448 --> 01:25:17,130 PROFESSOR: Sure. 2383 01:25:17,130 --> 01:25:18,421 So political party, government. 2384 01:25:18,421 --> 01:25:19,130 This is great. 2385 01:25:19,130 --> 01:25:23,530 So Flour makes America strong. 2386 01:25:23,530 --> 01:25:24,310 Forget GM. 2387 01:25:24,310 --> 01:25:25,310 Forget Ford. 2388 01:25:25,310 --> 01:25:26,060 Flour does it. 2389 01:25:26,060 --> 01:25:26,560 I love that. 2390 01:25:26,560 --> 01:25:27,268 It's a great job. 2391 01:25:27,268 --> 01:25:31,830 [APPLAUSE] 2392 01:25:31,830 --> 01:25:33,480 Who's up next on the chopping block? 2393 01:25:36,910 --> 01:25:38,613 Let's get this going here. 2394 01:25:38,613 --> 01:25:41,571 You get this. 2395 01:25:41,571 --> 01:25:44,180 I'll give you this to hold. 2396 01:25:44,180 --> 01:25:45,770 I'll give you this to use as well. 2397 01:26:02,614 --> 01:26:03,530 Let's talk about this. 2398 01:26:03,530 --> 01:26:04,210 Walk us through it. 2399 01:26:04,210 --> 01:26:04,990 At the center is Flour. 2400 01:26:04,990 --> 01:26:05,610 What else we got? 2401 01:26:05,610 --> 01:26:07,193 STUDENT PRESENTER 2: So we have Flour. 2402 01:26:07,193 --> 01:26:10,406 And then it first goes to the banks and investors. 2403 01:26:10,406 --> 01:26:11,280 PROFESSOR: Investors. 2404 01:26:11,280 --> 01:26:12,000 Yes. 2405 01:26:12,000 --> 01:26:13,250 STUDENT PRESENTER 2: So banks. 2406 01:26:13,250 --> 01:26:15,790 So people who have money in the bank. 2407 01:26:15,790 --> 01:26:18,710 So it's really important that the banks are doing well. 2408 01:26:18,710 --> 01:26:21,790 Similarly, people who are friends 2409 01:26:21,790 --> 01:26:23,290 with the people with money the banks 2410 01:26:23,290 --> 01:26:27,860 who needed to be spotted for a meal at Flour also benefit. 2411 01:26:27,860 --> 01:26:30,170 So we also have the workers. 2412 01:26:30,170 --> 01:26:33,880 Their taxes go to the government which helps America. 2413 01:26:33,880 --> 01:26:36,600 And then workers. 2414 01:26:36,600 --> 01:26:39,580 Their families also benefit from the making income. 2415 01:26:39,580 --> 01:26:42,032 And then it goes to the school system. 2416 01:26:42,032 --> 01:26:44,210 PROFESSOR: How's it go to the school system. 2417 01:26:44,210 --> 01:26:47,900 STUDENT PRESENTER 2: Because the children go to school. 2418 01:26:47,900 --> 01:26:50,360 And then, thus, benefits citizens. 2419 01:26:50,360 --> 01:26:52,830 PROFESSOR: So money goes from Flour Bakery to the workers. 2420 01:26:52,830 --> 01:26:55,339 The workers give money to their families? 2421 01:26:55,339 --> 01:26:56,380 STUDENT PRESENTER 2: Yes. 2422 01:26:56,380 --> 01:26:58,890 PROFESSOR: And so how does that benefit the school? 2423 01:26:58,890 --> 01:27:01,348 STUDENT PRESENTER 2: Because then the children go to school 2424 01:27:01,348 --> 01:27:03,510 and get educated. 2425 01:27:03,510 --> 01:27:05,630 You need people to go to school. 2426 01:27:05,630 --> 01:27:07,922 PROFESSOR: How do the families pay for that? 2427 01:27:07,922 --> 01:27:09,630 STUDENT PRESENTER 2: Through their taxes. 2428 01:27:09,630 --> 01:27:11,230 PROFESSOR: Through taxes. 2429 01:27:11,230 --> 01:27:13,104 STUDENT PRESENTER 2: And then the government. 2430 01:27:13,104 --> 01:27:15,650 PROFESSOR: Before it gets to the school, where does it go? 2431 01:27:15,650 --> 01:27:16,540 To the IRS. 2432 01:27:16,540 --> 01:27:17,050 STUDENT PRESENTER 2: That too. 2433 01:27:17,050 --> 01:27:18,080 PROFESSOR: And them to the school. 2434 01:27:18,080 --> 01:27:18,560 STUDENT PRESENTER 2: Yes. 2435 01:27:18,560 --> 01:27:19,770 PROFESSOR: To the IRS first and then to the school. 2436 01:27:19,770 --> 01:27:20,310 STUDENT PRESENTER 2: Yes. 2437 01:27:20,310 --> 01:27:20,490 PROFESSOR: Yes. 2438 01:27:20,490 --> 01:27:21,200 That is true though. 2439 01:27:21,200 --> 01:27:23,408 STUDENT PRESENTER 2: And it goes back to the citizens 2440 01:27:23,408 --> 01:27:25,308 because then you have an educated population. 2441 01:27:25,308 --> 01:27:27,432 PROFESSOR: So Flour Bakery educates the population. 2442 01:27:27,432 --> 01:27:28,630 I love that. 2443 01:27:28,630 --> 01:27:29,380 We'll tell Joanne. 2444 01:27:29,380 --> 01:27:31,587 She's going to love this. 2445 01:27:31,587 --> 01:27:33,795 STUDENT PRESENTER 2: Then kind of going on a more fun 2446 01:27:33,795 --> 01:27:36,700 note-- so we also had neighboring companies, 2447 01:27:36,700 --> 01:27:41,170 such as Novartis who's like a biotech drug development 2448 01:27:41,170 --> 01:27:43,460 company which helps hospitals. 2449 01:27:43,460 --> 01:27:47,080 And then the patients can go to Flour. 2450 01:27:47,080 --> 01:27:47,830 PROFESSOR: Lovely. 2451 01:27:47,830 --> 01:27:49,384 Keep going. 2452 01:27:49,384 --> 01:27:50,800 STUDENT PRESENTER 2: Similarly, we 2453 01:27:50,800 --> 01:27:55,260 have more customers such as MIT students. 2454 01:27:55,260 --> 01:28:00,370 And so our parents benefit from us getting an education. 2455 01:28:00,370 --> 01:28:04,940 Professors and other MIT employees who go to flour. 2456 01:28:04,940 --> 01:28:10,270 And also the world slash everybody is invested in. 2457 01:28:10,270 --> 01:28:12,150 PROFESSOR: The world. 2458 01:28:12,150 --> 01:28:14,541 I can't wait til the next one that says universe. 2459 01:28:14,541 --> 01:28:15,040 That's good. 2460 01:28:15,040 --> 01:28:15,956 Big round of applause. 2461 01:28:15,956 --> 01:28:20,470 [APPLAUSE] 2462 01:28:20,470 --> 01:28:22,390 We've got time for one more example. 2463 01:28:22,390 --> 01:28:25,090 Who-- yes. 2464 01:28:25,090 --> 01:28:26,170 Let's take your example. 2465 01:28:26,170 --> 01:28:27,232 Cannot wait to see it. 2466 01:29:00,720 --> 01:29:04,460 STUDENT PRESENTER 3: So ours is similar to many of the others. 2467 01:29:04,460 --> 01:29:08,149 We have some things that other people didn't have-- 2468 01:29:08,149 --> 01:29:09,690 PROFESSOR: Point out the differences. 2469 01:29:09,690 --> 01:29:12,072 STUDENT PRESENTER 3: --in local gyms. 2470 01:29:12,072 --> 01:29:13,780 PROFESSOR: Local gyms benefit from Flour. 2471 01:29:13,780 --> 01:29:14,100 STUDENT PRESENTER 3: They do. 2472 01:29:14,100 --> 01:29:16,710 PROFESSOR: Tell us why do local gyms benefit from a place that 2473 01:29:16,710 --> 01:29:18,280 sells lots of bakery confectioneries. 2474 01:29:18,280 --> 01:29:19,600 STUDENT PRESENTER 3: Flour is really delicious. 2475 01:29:19,600 --> 01:29:20,933 And then people eat a lot of it. 2476 01:29:20,933 --> 01:29:22,240 And they get really fat. 2477 01:29:22,240 --> 01:29:24,580 And then they would like to lose some of those calories. 2478 01:29:24,580 --> 01:29:26,900 PROFESSOR: So the Z Center, the MIT gym, 2479 01:29:26,900 --> 01:29:29,882 benefits from Flour being there because more people use the Z 2480 01:29:29,882 --> 01:29:32,340 Center who may not otherwise use it because they're saying, 2481 01:29:32,340 --> 01:29:34,460 I love Flour so much but I've got to work out the calories. 2482 01:29:34,460 --> 01:29:35,350 STUDENT PRESENTER 3: Exactly. 2483 01:29:35,350 --> 01:29:36,930 PROFESSOR: Local bike shops maybe as well. 2484 01:29:36,930 --> 01:29:38,780 STUDENT PRESENTER 3: So their employees benefit too. 2485 01:29:38,780 --> 01:29:39,680 PROFESSOR: Their employees absolutely benefit. 2486 01:29:39,680 --> 01:29:40,090 Yes. 2487 01:29:40,090 --> 01:29:42,756 STUDENT PRESENTER 3: And we also had hospitals in that similar-- 2488 01:29:45,000 --> 01:29:46,262 PROFESSOR: As Diabetes go up. 2489 01:29:46,262 --> 01:29:47,470 STUDENT PRESENTER 3: Exactly. 2490 01:29:47,470 --> 01:29:49,680 PROFESSOR: Yes, they're so tasty they cause diabetes. 2491 01:29:49,680 --> 01:29:50,010 STUDENT PRESENTER 3: Precisely. 2492 01:29:50,010 --> 01:29:51,030 PROFESSOR: And hospitals benefit. 2493 01:29:51,030 --> 01:29:52,040 And doctors from selling-- 2494 01:29:52,040 --> 01:29:53,480 STUDENT PRESENTER 3: And the doctors' families. 2495 01:29:53,480 --> 01:29:53,840 Yes? 2496 01:29:53,840 --> 01:29:55,180 PROFESSOR: And the doctors' families benefit. 2497 01:29:55,180 --> 01:29:56,388 STUDENT PRESENTER 3: Exactly. 2498 01:29:56,388 --> 01:29:59,200 PROFESSOR: Now this may sound bizarre, but this is true. 2499 01:29:59,200 --> 01:30:00,830 This is how it happens. 2500 01:30:00,830 --> 01:30:05,670 Imagine that we had to work it out for a tobacco company. 2501 01:30:05,670 --> 01:30:08,520 All the people that benefit from a tobacco company 2502 01:30:08,520 --> 01:30:11,450 selling things, including people who 2503 01:30:11,450 --> 01:30:14,210 are injured by tobacco because of cancer. 2504 01:30:14,210 --> 01:30:15,030 So that's all true. 2505 01:30:15,030 --> 01:30:17,870 What else do we have? 2506 01:30:17,870 --> 01:30:20,720 STUDENT PRESENTER 4: We had aspiring chefs 2507 01:30:20,720 --> 01:30:22,610 because of the cookbook. 2508 01:30:22,610 --> 01:30:23,540 So they can see that. 2509 01:30:23,540 --> 01:30:26,490 Or even aspiring restaurateurs who 2510 01:30:26,490 --> 01:30:28,820 see how the owner set up Flour and maybe 2511 01:30:28,820 --> 01:30:30,325 use it as an example or inspiration. 2512 01:30:30,325 --> 01:30:33,180 PROFESSOR: Brilliant. 2513 01:30:33,180 --> 01:30:34,255 What else do you have? 2514 01:30:34,255 --> 01:30:35,610 What else is brilliant? 2515 01:30:35,610 --> 01:30:37,180 STUDENT PRESENTER 5: We also have 2516 01:30:37,180 --> 01:30:40,300 how MIT is generally affected. 2517 01:30:40,300 --> 01:30:44,580 So if students are eating at Flour instead of the dining 2518 01:30:44,580 --> 01:30:48,170 hall, then that's affecting MIT. 2519 01:30:48,170 --> 01:30:50,190 That's affecting the classes and the professors 2520 01:30:50,190 --> 01:30:51,901 and your classmates. 2521 01:30:51,901 --> 01:30:53,150 PROFESSOR: And maybe for good. 2522 01:30:53,150 --> 01:30:54,000 Maybe not for food. 2523 01:30:54,000 --> 01:30:54,583 This is great. 2524 01:30:54,583 --> 01:30:55,870 This is an excellent one. 2525 01:30:55,870 --> 01:30:57,450 Here's a question. 2526 01:30:57,450 --> 01:31:01,910 Did anyone get lawyers? 2527 01:31:01,910 --> 01:31:02,410 Good. 2528 01:31:02,410 --> 01:31:03,140 Two groups. 2529 01:31:03,140 --> 01:31:05,011 How about accountants? 2530 01:31:05,011 --> 01:31:05,510 One group. 2531 01:31:05,510 --> 01:31:06,057 Excellent. 2532 01:31:06,057 --> 01:31:08,140 Every business deals with lawyers and accountants. 2533 01:31:08,140 --> 01:31:09,770 Lawyers accountants all the time. 2534 01:31:09,770 --> 01:31:11,425 Every business, no matter what, deals 2535 01:31:11,425 --> 01:31:13,450 with lawyers and accountants. 2536 01:31:13,450 --> 01:31:16,090 It should be on all of these because, no matter 2537 01:31:16,090 --> 01:31:19,112 what-- and particularly as a business owner-- boy, 2538 01:31:19,112 --> 01:31:20,570 I get on the phone with my lawyers, 2539 01:31:20,570 --> 01:31:22,040 I talk to my accountant. 2540 01:31:22,040 --> 01:31:23,280 I can't even avoid it. 2541 01:31:23,280 --> 01:31:25,220 It's not even possible to avoid, particularly 2542 01:31:25,220 --> 01:31:30,130 when you have to hire people and fire people and the whole bit. 2543 01:31:30,130 --> 01:31:32,277 That's why they're such big businesses-- why 2544 01:31:32,277 --> 01:31:34,340 accounting and the law are such big businesses-- 2545 01:31:34,340 --> 01:31:36,860 because everybody needs to use them. 2546 01:31:36,860 --> 01:31:40,100 Any other people have examples of beneficiaries 2547 01:31:40,100 --> 01:31:41,940 who we didn't list? 2548 01:31:41,940 --> 01:31:43,190 AUDIENCE: Insurance companies. 2549 01:31:43,190 --> 01:31:44,210 PROFESSOR: Insurance companies. 2550 01:31:44,210 --> 01:31:44,710 Yes. 2551 01:31:44,710 --> 01:31:45,240 Absolutely. 2552 01:31:45,240 --> 01:31:47,469 AUDIENCE: The farmers. 2553 01:31:47,469 --> 01:31:48,260 PROFESSOR: Farmers. 2554 01:31:48,260 --> 01:31:50,090 People actually grow this stuff. 2555 01:31:50,090 --> 01:31:50,590 Absolutely. 2556 01:31:50,590 --> 01:31:52,570 People grow stuff and have more supply chains. 2557 01:31:52,570 --> 01:31:53,490 And this is true. 2558 01:31:53,490 --> 01:31:55,310 Flour Bakery may have a little impact, 2559 01:31:55,310 --> 01:31:58,797 but McDonald's has enormous impact on cattle companies, 2560 01:31:58,797 --> 01:32:00,880 and people who supply tomatoes and lettuce and all 2561 01:32:00,880 --> 01:32:01,421 those things. 2562 01:32:01,421 --> 01:32:01,950 Absolutely. 2563 01:32:01,950 --> 01:32:02,940 Huge impact. 2564 01:32:02,940 --> 01:32:04,786 Industries are built around these things. 2565 01:32:04,786 --> 01:32:07,642 AUDIENCE: We also listed internet providers 2566 01:32:07,642 --> 01:32:10,350 because they offer free Wi-Fi to the customers. 2567 01:32:10,350 --> 01:32:11,510 PROFESSOR: Free Wi-Fi to the customers as well. 2568 01:32:11,510 --> 01:32:12,510 Let's go back to slides, please. 2569 01:32:12,510 --> 01:32:12,990 Thank you. 2570 01:32:12,990 --> 01:32:13,730 This is excellent. 2571 01:32:13,730 --> 01:32:14,410 You did a great job. 2572 01:32:14,410 --> 01:32:15,951 Did we give them a round of applause? 2573 01:32:15,951 --> 01:32:18,632 [APPLAUSE] 2574 01:32:22,610 --> 01:32:23,764 You got that. 2575 01:32:23,764 --> 01:32:25,180 This is what we care about though. 2576 01:32:25,180 --> 01:32:27,138 Why do we care about doing this and why are you 2577 01:32:27,138 --> 01:32:28,730 going to be doing this yourselves? 2578 01:32:28,730 --> 01:32:30,790 It's starts out with systems thinking. 2579 01:32:30,790 --> 01:32:32,680 Establishing a global perspective 2580 01:32:32,680 --> 01:32:35,030 about the little problem you're trying to solve. 2581 01:32:35,030 --> 01:32:37,180 If I said, make a calculator-- a calculator 2582 01:32:37,180 --> 01:32:38,420 doesn't exist in isolation. 2583 01:32:38,420 --> 01:32:41,170 It affects a lot of things and can affect a lot of things. 2584 01:32:41,170 --> 01:32:43,820 We want to maintain a really big perspective 2585 01:32:43,820 --> 01:32:46,004 over every small decision we make. 2586 01:32:46,004 --> 01:32:47,420 Because of that, we can understand 2587 01:32:47,420 --> 01:32:49,430 how to make good decisions and trade-offs, 2588 01:32:49,430 --> 01:32:51,970 establish priorities or reestablish them, and be 2589 01:32:51,970 --> 01:32:53,890 able to communicate more effectively. 2590 01:32:53,890 --> 01:32:56,170 Not all stakeholders have the same amount of value 2591 01:32:56,170 --> 01:32:57,000 to a company. 2592 01:32:57,000 --> 01:32:59,760 Different stakeholders hold different kinds of value. 2593 01:32:59,760 --> 01:33:02,804 Joanne may say, look, I really care about my customers 2594 01:33:02,804 --> 01:33:04,220 but she may not say, I really care 2595 01:33:04,220 --> 01:33:05,970 about the people who work at the gym. 2596 01:33:05,970 --> 01:33:08,870 So she may not say, let me put extra fat in the products 2597 01:33:08,870 --> 01:33:11,792 and then advertise, by the way, with these things, 2598 01:33:11,792 --> 01:33:13,250 if you care about it, I'll give you 2599 01:33:13,250 --> 01:33:16,260 a discount to the gym membership. 2600 01:33:16,260 --> 01:33:18,560 Which stakeholders do we benefit more 2601 01:33:18,560 --> 01:33:21,230 and which stakeholders benefit us more? 2602 01:33:21,230 --> 01:33:23,024 Sometimes, in a nonprofit, we might 2603 01:33:23,024 --> 01:33:25,190 think we really want to get the best thing out there 2604 01:33:25,190 --> 01:33:27,550 no matter what because we don't care about making profit. 2605 01:33:27,550 --> 01:33:29,260 Other times you think, well, we want to get the best thing out 2606 01:33:29,260 --> 01:33:30,910 there, kind of, but we also want to make 2607 01:33:30,910 --> 01:33:33,076 sure we're balancing that out with our stakeholders. 2608 01:33:34,989 --> 01:33:36,530 An example of this is angel investors 2609 01:33:36,530 --> 01:33:37,488 versus venture capital. 2610 01:33:37,488 --> 01:33:39,410 If you're starting a company, angel investors 2611 01:33:39,410 --> 01:33:40,740 will give you a little bit of money. 2612 01:33:40,740 --> 01:33:42,490 It's a little bit easier to get the money. 2613 01:33:42,490 --> 01:33:44,900 And there's far fewer strings attached to that money. 2614 01:33:44,900 --> 01:33:47,880 A venture capitalist will give you money-- much more money, 2615 01:33:47,880 --> 01:33:50,110 but they have a lot more requirements. 2616 01:33:50,110 --> 01:33:52,290 And so each of them need different kinds of things. 2617 01:33:52,290 --> 01:33:53,925 Angel investors don't need a whole bunch of return 2618 01:33:53,925 --> 01:33:54,940 on their investment. 2619 01:33:54,940 --> 01:33:56,440 And a venture capitalist says no, we 2620 01:33:56,440 --> 01:33:57,576 want to make a ton of cash. 2621 01:33:57,576 --> 01:33:58,950 So we'll give you more, but we're 2622 01:33:58,950 --> 01:34:01,325 going to take a lot more back and have more requirements. 2623 01:34:01,325 --> 01:34:02,820 So different kinds of stakeholders 2624 01:34:02,820 --> 01:34:06,650 would allow us to figure out which do we use. 2625 01:34:06,650 --> 01:34:08,810 If we understand this network very clearly, 2626 01:34:08,810 --> 01:34:11,220 it helps us to understand priorities and trade-offs. 2627 01:34:11,220 --> 01:34:13,080 And then, if I understand this diagram 2628 01:34:13,080 --> 01:34:15,530 and convey this to you very specifically, 2629 01:34:15,530 --> 01:34:17,220 it could help us align the team. 2630 01:34:17,220 --> 01:34:20,500 So my software is sold to people at companies. 2631 01:34:20,500 --> 01:34:22,190 If everybody in my company knows who 2632 01:34:22,190 --> 01:34:25,510 those people are, who makes the buying decisions, who 2633 01:34:25,510 --> 01:34:26,350 is going to use it. 2634 01:34:26,350 --> 01:34:28,400 Are they the same people or different people. 2635 01:34:28,400 --> 01:34:30,400 How do I make sure that the buying person gets 2636 01:34:30,400 --> 01:34:34,000 what they need and the person using it gets what they need. 2637 01:34:34,000 --> 01:34:35,580 They may need different things. 2638 01:34:35,580 --> 01:34:37,530 And even though the people who use it 2639 01:34:37,530 --> 01:34:40,220 may use 90% of the functionality and the people who 2640 01:34:40,220 --> 01:34:44,940 buy it may use almost none of it, or 1%, 2641 01:34:44,940 --> 01:34:47,150 do I want to invest that 1% of the functionality 2642 01:34:47,150 --> 01:34:49,100 even if it costs me a lot of time and effort? 2643 01:34:49,100 --> 01:34:51,510 Maybe I have to. 2644 01:34:51,510 --> 01:34:53,780 So it can reveal hidden cost and opportunities. 2645 01:34:53,780 --> 01:34:54,610 A cost. 2646 01:34:54,610 --> 01:34:57,890 A student can get an easy or a difficult C. 2647 01:34:57,890 --> 01:35:00,890 From a parent's perspective, which is better? 2648 01:35:00,890 --> 01:35:04,200 The easy A or the really difficult say? 2649 01:35:04,200 --> 01:35:06,141 Please pass the class. 2650 01:35:06,141 --> 01:35:07,390 I'm your parent paying for it. 2651 01:35:07,390 --> 01:35:09,650 I don't want to have to pay for you to take it again. 2652 01:35:09,650 --> 01:35:11,570 So maybe they might think it's really better 2653 01:35:11,570 --> 01:35:12,642 to have an easy A class. 2654 01:35:12,642 --> 01:35:14,350 But maybe from the student's perspective, 2655 01:35:14,350 --> 01:35:16,232 they think, the harder C is-- I'm 2656 01:35:16,232 --> 01:35:17,440 going to learn a lot more in. 2657 01:35:17,440 --> 01:35:19,830 And it's better for me and my future. 2658 01:35:19,830 --> 01:35:21,330 Or an opportunity. 2659 01:35:21,330 --> 01:35:23,420 If a company has enough employees, for example, 2660 01:35:23,420 --> 01:35:25,039 a company can get better buying power 2661 01:35:25,039 --> 01:35:26,580 with vendors or the gym or something. 2662 01:35:26,580 --> 01:35:27,910 Because we have so many employees 2663 01:35:27,910 --> 01:35:29,910 they say, look, we want to have our employees go 2664 01:35:29,910 --> 01:35:31,955 to your gym or maybe some competitor's gym. 2665 01:35:31,955 --> 01:35:34,330 If you give a bigger discount, we have more buying power. 2666 01:35:34,330 --> 01:35:37,750 Or to the vendors like Walmart. 2667 01:35:37,750 --> 01:35:41,210 Walmart doesn't pay much for anything 2668 01:35:41,210 --> 01:35:42,600 because they sell so much. 2669 01:35:42,600 --> 01:35:44,320 And it's such a valuable brand to have 2670 01:35:44,320 --> 01:35:47,080 when you're selling something that they 2671 01:35:47,080 --> 01:35:49,250 make their vendors cut their prices way down-- as 2672 01:35:49,250 --> 01:35:50,790 low as they can possibly get them. 2673 01:35:50,790 --> 01:35:51,830 And the idea is that for them is they 2674 01:35:51,830 --> 01:35:53,640 pass their savings on to the customers. 2675 01:35:56,360 --> 01:35:58,530 For the homework, I want you to map out 2676 01:35:58,530 --> 01:36:00,750 primary and secondary stakeholders, 2677 01:36:00,750 --> 01:36:03,630 and more if you'd like for two things. 2678 01:36:03,630 --> 01:36:06,870 An art museum and a new kind of battery technology. 2679 01:36:06,870 --> 01:36:10,350 So one's a museum and one is a technology. 2680 01:36:10,350 --> 01:36:12,550 Starting with technology in the center. 2681 01:36:12,550 --> 01:36:13,714 I'm thinking about that. 2682 01:36:13,714 --> 01:36:15,130 All the different ways it connects 2683 01:36:15,130 --> 01:36:16,338 to everything else around it. 2684 01:36:16,338 --> 01:36:17,820 A new kind of better technology. 2685 01:36:17,820 --> 01:36:19,950 If you have something in mind, you could use that. 2686 01:36:19,950 --> 01:36:21,241 Just let us know what you used. 2687 01:36:21,241 --> 01:36:23,980 And if you don't really quite know about battery technology, 2688 01:36:23,980 --> 01:36:27,590 you could just kind of think about what it might affect. 2689 01:36:27,590 --> 01:36:30,710 That's the objective here. 2690 01:36:30,710 --> 01:36:34,170 Understanding your stakeholders will make a huge shift 2691 01:36:34,170 --> 01:36:36,020 in your ability to make decisions, 2692 01:36:36,020 --> 01:36:39,850 to think globally from a systems perspective. 2693 01:36:39,850 --> 01:36:43,520 And if you can do that on little small projects, 2694 01:36:43,520 --> 01:36:47,464 as the projects get bigger and more complicated and complex, 2695 01:36:47,464 --> 01:36:49,130 you'll be able to make better decisions. 2696 01:36:49,130 --> 01:36:50,240 And it will help you make decisions 2697 01:36:50,240 --> 01:36:52,500 when you're not too sure what to do because at least you'll 2698 01:36:52,500 --> 01:36:54,620 have a framework and be able to communicate that 2699 01:36:54,620 --> 01:36:56,100 to other people on the team. 2700 01:36:56,100 --> 01:36:57,900 And they can say, yes, we understand 2701 01:36:57,900 --> 01:37:00,160 that that's an important feature to add-- 2702 01:37:00,160 --> 01:37:03,990 to spend weeks or months adding because someone needs it 2703 01:37:03,990 --> 01:37:05,880 in order for us to sell the product. 2704 01:37:05,880 --> 01:37:08,360 Any questions about stakeholders or research 2705 01:37:08,360 --> 01:37:12,650 or Dieter Rams or Johnny Ive? 2706 01:37:12,650 --> 01:37:14,192 AUDIENCE: Is the homework for Monday? 2707 01:37:14,192 --> 01:37:15,816 PROFESSOR: This homework is for Monday. 2708 01:37:15,816 --> 01:37:17,750 In fact, I will show you on the next slide 2709 01:37:17,750 --> 01:37:19,680 what you've done so far. 2710 01:37:19,680 --> 01:37:20,809 We had an introduction. 2711 01:37:20,809 --> 01:37:22,475 We went over the 10 step design process. 2712 01:37:22,475 --> 01:37:24,620 We actually moved Dieter Rams to today. 2713 01:37:24,620 --> 01:37:28,340 And what's due on Monday is the game design 2714 01:37:28,340 --> 01:37:31,880 and the stakeholder analysis for games. 2715 01:37:31,880 --> 01:37:33,060 Have a wonderful weekend. 2716 01:37:33,060 --> 01:37:36,040 If you have any questions, email us at eid-questions. 2717 01:37:36,040 --> 01:37:37,790 Thank you.