Usually, I start with the question "How would you be able to tell that this problem had been solved?" and repeat it two or twenty times in different words until someone actually tries to answer it.
What a true and hilarious depiction of life. I have the exact same problem doing web development. Because the people giving me projects are not IT people they tend to come up with totally dysfunctional solutions. Yet they almost always start by telling me how they want the problem solved. I have to dig to find out what the problem is first but I just ask them "What result do you want?" or "What purpose do you want this to serve?" and say "I can't make it serve the purpose without knowing what the purpose is." That works for me, without me having to ask them 20 times. Then again maybe you're doing projects in radically different contexts all the time, or with completely different people who vary in their ability to see the point in answering that question. I work with a limited number of people and contexts, all of which I understand pretty well, so my problem clarification process is pretty simple.
What purpose do you want this to serve ... I work with a limited number of people and contexts, all of which I understand pretty well, so my problem clarification process is pretty simple..
In my experience as a programmer (who wore all the software-related hats), I found that even when I understood the domain quite well, inquired about the purpose multiple times, and wrote little stories illustrating my interpretation of the users' desires, I could walk away from early usability tests with major changes to the project.
In one particularly memorable insta...
From Robyn Dawes’s Rational Choice in an Uncertain World.1 Bolding added.
This is so true it’s not even funny. And it gets worse and worse the tougher the problem becomes. Take artificial intelligence, for example. A surprising number of people I meet seem to know exactly how to build an artificial general intelligence, without, say, knowing how to build an optical character recognizer or a collaborative filtering system (much easier problems). And as for building an AI with a positive impact on the world—a Friendly AI, loosely speaking—why, that problem is so incredibly difficult that an actual majority resolve the whole issue within fifteen seconds.2 Give me a break.
This problem is by no means unique to AI. Physicists encounter plenty of nonphysicists with their own theories of physics, economists get to hear lots of amazing new theories of economics. If you’re an evolutionary biologist, anyone you meet can instantly solve any open problem in your field, usually by postulating group selection. Et cetera.
Maier’s advice echoes the principle of the bottom line, that the effectiveness of our decisions is determined only by whatever evidence and processing we did in first arriving at our decisions—after you write the bottom line, it is too late to write more reasons above. If you make your decision very early on, it will, in fact, be based on very little thought, no matter how many amazing arguments you come up with afterward.
And consider furthermore that we change our minds less often than we think: 24 people assigned an average 66% probability to the future choice thought more probable, but only 1 in 24 actually chose the option thought less probable. Once you can guess what your answer will be, you have probably already decided. If you can guess your answer half a second after hearing the question, then you have half a second in which to be intelligent. It’s not a lot of time.
Traditional Rationality emphasizes falsification—the ability to relinquish an initial opinion when confronted by clear evidence against it. But once an idea gets into your head, it will probably require way too much evidence to get it out again. Worse, we don’t always have the luxury of overwhelming evidence.
I suspect that a more powerful (and more difficult) method is to hold off on thinking of an answer. To suspend, draw out, that tiny moment when we can’t yet guess what our answer will be; thus giving our intelligence a longer time in which to act.
Even half a minute would be an improvement over half a second.
1Robyn M. Dawes, Rational Choice in An Uncertain World, 1st ed., ed. Jerome Kagan (San Diego, CA: Harcourt Brace Jovanovich, 1988), 55–56.
2See Yudkowsky, “Artificial Intelligence as a Positive and Negative Factor in Global Risk.”