Ask HN: When to listen to users & when not to?
14 points| neo | 16 years ago
1) Use customer testing/validation (e.g., A/B, #leanstartup, et.al.) to drive design & feature decisions. Your job as the developer is to only iterate quickly and have a fast feedback loop incorporating their input. Prominent example: Google/Marissa.
2) Users don't know what they want (especially when it comes to "new" product categories that don't fit nicely into a pre-existing frame of reference) and so you must develop your own Design sense and intuition. Prominent example: Facebook/Zuck & of course, Apple/Jobs.
[+] [-] andrewvc|16 years ago|reply
“If I had asked people what they wanted, they would have said faster horses.”
At the end of the day you're in a gray area, and good judgement is the result of smarts, experience, and luck.
[+] [-] fun2have|16 years ago|reply
[+] [-] trjordan|16 years ago|reply
Even Google does it the second way, but, like everything else, they do it at scale. Instead of having a single designer, they let all of their engineers design, put everything out there with a "Labs" and "beta" sticker on it, and see what sticks. It their early days, they didn't have the resources to do that, so what did they do? Larry and Sergi pushed forward with their idea for a search engine, even as they were told the search space was closed.
People never know what they want in the future, but, in numbers, they are fantastic at responding to truly good ideas and products. That's the feedback you want, "Tell us what you think" boxes be damned.
[+] [-] DenisM|16 years ago|reply
When staging your plan make sure to put important parts first, so ask your future customers which parts of the outcome they want the most.
So the first part is Listening, then comes Design, then comes the Iterative Loop.
[+] [-] ndc|16 years ago|reply
[+] [-] timcederman|16 years ago|reply
[+] [-] etherael|16 years ago|reply
Alone, the raw data approach is enough to tell you that you're on the right track, while the go with your instincts position is not enough to tell you anything in and of itself.
Sticking to the raw data model but attempting to intuitively discern underlying currents and reasons for the shifts in the data and incorporating those into future direction is the ultimate sweet spot.
[+] [-] access_denied|16 years ago|reply