1 00:00:05,400 --> 00:00:09,300 We have a whole series of things that we drill down and look at. 2 00:00:09,300 --> 00:00:11,250 The example that you're going to see 3 00:00:11,250 --> 00:00:14,630 is one that worked well for us, but yours might be different. 4 00:00:14,630 --> 00:00:18,870 But these types of things are what you're going to see. 5 00:00:18,870 --> 00:00:21,410 As we laid it out, we had entertainment. 6 00:00:21,410 --> 00:00:24,385 We had the industrial designer. 7 00:00:35,160 --> 00:00:40,940 I apologize for the hard-to-read writing here. 8 00:00:40,940 --> 00:00:45,070 And so you can see what they were doing as well. 9 00:00:45,070 --> 00:00:48,776 Industrial design, you would have medical visualization. 10 00:00:51,510 --> 00:00:54,710 Companies like GE had 3D data sets that they were getting 11 00:00:54,710 --> 00:00:58,190 through CAT scans, MRI, and they wanted to look at them, 12 00:00:58,190 --> 00:01:00,150 interact with those data sets. 13 00:01:00,150 --> 00:01:01,453 We had surgical simulation. 14 00:01:06,800 --> 00:01:12,440 We also had computing for the blind, human-computer interface 15 00:01:12,440 --> 00:01:18,210 for non-visual human computer interface. 16 00:01:18,210 --> 00:01:21,540 And for each one of these, we have molecular modeling 17 00:01:21,540 --> 00:01:25,740 and assembly path planning, and we even 18 00:01:25,740 --> 00:01:29,090 had analyzing seismic data. 19 00:01:29,090 --> 00:01:31,490 All of these different ones, we laid out, 20 00:01:31,490 --> 00:01:36,220 and then we dug down in here for a matter of a week or two 21 00:01:36,220 --> 00:01:38,950 to understand what each of them were. 22 00:01:38,950 --> 00:01:42,450 And then at that point, we had a nice market segmentation 23 00:01:42,450 --> 00:01:45,470 that we could then take a step back and take a look at 24 00:01:45,470 --> 00:01:48,240 and say, wow, those are the top opportunities. 25 00:01:48,240 --> 00:01:50,830 Which one should we go after? 26 00:01:50,830 --> 00:01:53,070 This takes a lot of work. 27 00:01:53,070 --> 00:01:55,350 But the work that we're going to put in upfront 28 00:01:55,350 --> 00:01:59,135 is going to pay dividends, because our team will now 29 00:01:59,135 --> 00:02:02,460 have had a chance to look at all the different opportunities. 30 00:02:02,460 --> 00:02:03,980 And when we choose one, we're going 31 00:02:03,980 --> 00:02:07,480 to have the highest level of confidence possible. 32 00:02:07,480 --> 00:02:10,479 So that is market segmentation with a very specific, 33 00:02:10,479 --> 00:02:13,570 real example at Sensible Technologies 34 00:02:13,570 --> 00:02:16,930 which ended up working out quite well for us.