1 00:00:01,275 --> 00:00:06,307 In this video I’d like to talk about the power of creating and comparing alternatives. 2 00:00:06,307 --> 00:00:08,723 And to do that I’m going to share some research 3 00:00:08,723 --> 00:00:13,572 that Steven Dow did as a postdoctoral scholar with me at Stanford University. 4 00:00:14,741 --> 00:00:18,340 When you’re designing, does it make more sense to go for quality 5 00:00:18,340 --> 00:00:21,940 and try to come up with the best possible design? 6 00:00:21,940 --> 00:00:29,131 Or does it make more sense to go for quantity first as a path to try and learn and understand? 7 00:00:29,131 --> 00:00:34,967 There’s a story that Bayles and Orland tell about an art teacher who divides the class in half, 8 00:00:34,967 --> 00:00:37,046 and he tells one half of the class, 9 00:00:37,046 --> 00:00:42,779 “You’re going to be graded exclusively on the quality of the very best thing that you make.” 10 00:00:42,779 --> 00:00:44,557 He tells the other half of the class, 11 00:00:44,557 --> 00:00:48,281 “You’re going to be graded on the quantity of things that you make. 12 00:00:48,281 --> 00:00:52,446 Doesn’t matter how good it is; all that matters is how much that you make.” 13 00:00:52,446 --> 00:00:57,799 And what this teacher found was that while the quantity group was busily churning our piles of work — 14 00:00:57,799 --> 00:00:59,842 and learning from their mistakes — 15 00:00:59,842 --> 00:01:02,613 the quality group sat around theorizing, and at the end of the day 16 00:01:02,613 --> 00:01:07,705 they had little more to show for their efforts than grandiose theories and piles of dead clay. 17 00:01:07,705 --> 00:01:14,096 So this gives us some intuition that rapidly producing many alternatives has a lot of value. 18 00:01:14,096 --> 00:01:19,095 And to explore this further, Steven and I had people create egg drop devices. 19 00:01:19,095 --> 00:01:21,096 You may have done this when you were in high school. 20 00:01:21,096 --> 00:01:23,898 If you haven’t, it’s a lot of fun, and I suggest trying it out. 21 00:01:23,898 --> 00:01:25,708 And what you can do with an egg drop device, 22 00:01:25,708 --> 00:01:30,286 is you’re building a contraption that will protect an egg from a fall. 23 00:01:30,286 --> 00:01:36,432 Here we threw one out my third-story office window and, lo and behold, the egg survives. 24 00:01:36,432 --> 00:01:42,083 And we tested a whole bunch of people in variance of this design and people come up with all sorts of stuff. 25 00:01:42,083 --> 00:01:47,588 They come up with good ideas, and bad ideas, and creative solutions, and really unimaginative ones. 26 00:01:47,588 --> 00:01:50,460 And one thing that is really interesting is that, 27 00:01:50,460 --> 00:01:58,479 in aggregate, people often pick one idea early on, and they stick with it to their detriment. 28 00:01:58,479 --> 00:02:02,582 And so here is a couple participants talking about that experience. 29 00:02:02,582 --> 00:02:07,395 (No, I don’t know, for some reason this is… this seems to be the only idea, 30 00:02:07,395 --> 00:02:12,163 in that there needs to be a platform and then it’s going to cushion, if possible, with the materials. 31 00:02:12,163 --> 00:02:14,286 I… I don’t see any, any other way. 32 00:02:14,286 --> 00:02:18,331 >> I’m not a very good outside-the-box thinker, 33 00:02:18,331 --> 00:02:21,977 so I kind of just had one idea and I was going to try and make it work. 34 00:02:21,977 --> 00:02:27,512 >> I kind of went with the whole parachute idea, and what I had from the beginning. So. 35 00:02:27,512 --> 00:02:33,249 >> This is the best approach for such a design.) 36 00:02:34,172 --> 00:02:38,970 What we see here is an example of what Karl Duncker called “functional fixation.” 37 00:02:38,970 --> 00:02:44,585 In a number of experiments that he ran in the 1940’s he gave people tasks like this: 38 00:02:44,585 --> 00:02:50,103 “Attach the candle to the wall such that none of the wax drips on the table.” 39 00:02:50,103 --> 00:02:53,352 Ten, twenty percent of the people figured it out. 40 00:02:53,352 --> 00:03:03,245 Take a moment and see if you can figure it out. 41 00:03:03,245 --> 00:03:07,665 The solution — as a couple of you have got, but I bet many people didn’t — 42 00:03:07,665 --> 00:03:13,495 is to take the box that holds the tacks and use that as a container for the candle. 43 00:03:13,495 --> 00:03:16,619 That will protect the wax from dripping on the table. 44 00:03:16,619 --> 00:03:24,239 And what’s interesting about this is that, because the tacks are in a box, we don’t see the box. 45 00:03:24,239 --> 00:03:29,640 If you give people the exact same set up, where the tacks are outside the box, 46 00:03:29,640 --> 00:03:33,851 all of a sudden the box becomes obviously available as a resource 47 00:03:33,851 --> 00:03:37,074 and nearly everybody solves exactly the same problem. 48 00:03:37,074 --> 00:03:39,463 So Stephen and I set off and tried to figure out 49 00:03:39,463 --> 00:03:44,788 whether we could augment people’s design process to get them to explore more alternatives. 50 00:03:44,788 --> 00:03:49,533 And one of the things that we did, is we forced people to come up with multiple alternatives in parallel. 51 00:03:49,533 --> 00:03:52,162 We call this parallel prototyping, 52 00:03:52,162 --> 00:03:58,653 and in this particular study we had people design graphical advertisements for the web. 53 00:03:58,653 --> 00:04:01,509 So, we’re going to put people in one of two conditions: 54 00:04:01,509 --> 00:04:07,824 You’re either going to be in a serial condition, where you iteratively create six prototypes from start to finish; 55 00:04:07,824 --> 00:04:13,635 or in a parallel condition, where you create three alternatives, get feedback, create two more, 56 00:04:13,635 --> 00:04:16,080 get feedback, and then make a final one. 57 00:04:16,080 --> 00:04:20,834 I should clarify that the amount of time that was available was exactly the same in both conditions, 58 00:04:20,834 --> 00:04:24,506 and in both conditions people got exactly the same amount of feedback. 59 00:04:24,506 --> 00:04:27,631 The only difference is when and how they got it. 60 00:04:29,354 --> 00:04:33,709 And, again, people come up with all sorts of stuff: Creative ideas and crummy ideas, 61 00:04:33,709 --> 00:04:41,923 well executed and poorly executed, and, overall, we’re able to measure, using web analytics, 62 00:04:41,923 --> 00:04:46,617 the click-through rate that people clicked on these advertisements. 63 00:04:46,617 --> 00:04:52,580 And so, over the past several years, we’ve run millions of advertisements out on the web. 64 00:04:52,580 --> 00:04:57,868 And what we see, in aggregate, is that participants who got a parallel design medicine — 65 00:04:57,868 --> 00:05:02,806 who were forced to create multiple alternatives in parallel — had a higher click-through rate: 66 00:05:02,806 --> 00:05:07,168 The ads they created were clicked on more than ads in the serial condition. 67 00:05:07,168 --> 00:05:13,247 And not only that, but the people who clicked on those ads and then went to the site subsequently 68 00:05:13,247 --> 00:05:16,329 spent a whole lot more time on that site 69 00:05:16,329 --> 00:05:21,500 and what this is telling us is that we’re getting the right people through to those ads. 70 00:05:22,039 --> 00:05:27,799 We also had experts — both advertising professionals and clients for this website — 71 00:05:27,799 --> 00:05:34,171 rate the quality of the advertisements and the experts also rated the quality of the parallel ads to be higher. 72 00:05:34,171 --> 00:05:38,720 And then we had the ads rated by a crowd online for the diversity of the ads. 73 00:05:38,720 --> 00:05:42,592 And what we see is that the ads in the parallel condition are also more diverse. 74 00:05:44,330 --> 00:05:48,625 And so why does a parallel approach yield better results? 75 00:05:49,379 --> 00:05:53,754 I think one of the important things that creating multiple alternatives in parallel does, 76 00:05:53,754 --> 00:05:56,904 is it separates your ego from the thing that you make. 77 00:05:56,904 --> 00:06:02,655 If I have only one idea and you critique it, I’m going to treat that as feedback about me; 78 00:06:02,655 --> 00:06:06,412 whereas if I have multiple different ideas and I get critique about them, 79 00:06:06,412 --> 00:06:12,150 I can see that its feedback about the ideas and not a referendum on me as a person, 80 00:06:12,150 --> 00:06:18,083 Also, automatically, by creating multiple alternatives, people are inspired to compare what they’ve created 81 00:06:18,083 --> 00:06:23,213 and try and transfer what they’ve learned from one design as they go forward in the future. 82 00:06:24,029 --> 00:06:27,173 And we see this transfer across a wide variety of domains. 83 00:06:27,173 --> 00:06:30,847 For example, in Dedre Gentner’s research on business negotiation, 84 00:06:30,847 --> 00:06:34,524 she had participants read business school cases, 85 00:06:34,524 --> 00:06:40,286 and she either had people read the cases one at a time and think about each individually, 86 00:06:40,286 --> 00:06:44,555 or she had people read them two at a time and compare them. 87 00:06:44,555 --> 00:06:49,219 And what she found was that having people compare two cases — 88 00:06:49,219 --> 00:06:53,057 to be able to contrast them and see similarities — 89 00:06:53,057 --> 00:06:58,804 yielded to a three-fold increase in the amount of wisdom that they were able to get 90 00:06:58,804 --> 00:07:04,506 out of those cases and transfer to a new negotiation task. 91 00:07:04,506 --> 00:07:10,410 So, what we got out of this is that maybe there’s some big benefits of creating multiple alternatives, 92 00:07:10,410 --> 00:07:13,980 especially for design teams and not just for individual design. 93 00:07:13,980 --> 00:07:18,925 So the next experiment we ran looked at sharing multiple alternatives. 94 00:07:20,064 --> 00:07:23,846 Same basic idea — we have a new client this time. 95 00:07:23,846 --> 00:07:27,048 And we’re going to have people either create and share multiple, 96 00:07:27,048 --> 00:07:29,423 create multiple and share their best, 97 00:07:29,423 --> 00:07:32,319 or create and share only one. 98 00:07:32,319 --> 00:07:35,758 Participants came up with lots of different designs. 99 00:07:35,758 --> 00:07:37,781 And [what] you can see is that 100 00:07:37,781 --> 00:07:42,327 the “share multiple” condition drastically outperforms the other two conditions. 101 00:07:42,327 --> 00:07:48,257 So being able to create and share multiple designs has especially significant benefits for teams. 102 00:07:48,257 --> 00:07:50,826 And there are a number of reasons for this. 103 00:07:50,826 --> 00:07:55,117 I’d like to point out one in particular, which is the increase in group rapport. 104 00:07:55,117 --> 00:07:59,745 When we asked people how they felt about their teammate, both before and after the task, 105 00:07:59,745 --> 00:08:06,784 in the create- and share-one conditions, people felt worse about their teammate afterwards — 106 00:08:06,784 --> 00:08:13,907 the single design approach can create enmity between teammates, and hostility — 107 00:08:13,907 --> 00:08:19,404 whereas, when creating and sharing multiple designs, people felt better about their teammates afterwards. 108 00:08:20,465 --> 00:08:25,290 One important benefit of sharing multiple designs, both with users and with designers, 109 00:08:25,290 --> 00:08:30,898 is that alternatives provide a vocabulary for talking about the space of possible designs. 110 00:08:30,898 --> 00:08:35,072 As Tohidi and colleagues showed, this could be especially valuable for users 111 00:08:35,072 --> 00:08:38,220 because users don’t know what the space of possible designs is. 112 00:08:38,220 --> 00:08:42,407 And so having multiple alternatives gives this vocabulary. 113 00:08:43,268 --> 00:08:46,559 I hope that today’s lecture has provided you with the conceptual tools 114 00:08:46,559 --> 00:08:49,490 for why it’s valuable to create many different alternatives. 115 00:08:49,490 --> 00:08:53,302 And I hope that this will be really useful for you as you go about your design projects. 116 00:08:53,302 --> 00:08:56,640 I’ll see you next time.