Re:Tell HN: New Google homepage, A/B testing gone crazy.
by _delirium on Friday May 07, 2010 @08:32AM
(#1327360)
This is commonly talked about in the design field as well (since at least the 1960s, probably earlier). On the one hand, there's a very industrial-psychology-derived HCI tradition, based on user-testing everything with statistical significance and so on, that tends to do relatively small changes, e.g. assuming that most of the design will stay as it is, how about widget A versus widget B? Against them, there's more of a design tradition, derived from architecture, graphic design, art, and other areas, that looks at more holistic sorts of issues, and tends to think that doing 1000 A/B tests does not add up to "design", and isn't likely to produce good outcomes either. HCI hasn't really resolved the issue over several decades, and it flares up now and then (my impression is that the main HCI conferences/journals are ~80% the industrial-psych sort, but the 20% dissenters have persistently stuck around for decades).
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Re:Tell HN: New Google homepage, A/B testing gone crazy.
by msy on Friday May 07, 2010 @08:39AM
(#1327374)
There is a fundamental misunderstanding of design at play here though. We're talking about a culture that doesn't understand that when it comes to design, 1+1 should equal 3 or more. You cannot separate out individual elements and A/B them without looking at the bigger picture. The net result is this - a kind of unsettling, uncomfortable inconsistency. The element level granularity of design hierarchy & planning is obvious. I love agile and I'm a fan of fast iteration and lots of user testing but a strong, consistent design requires top-down discipline and bold decisions, you cannot increment your way there.
Re:Tell HN: New Google homepage, A/B testing gone crazy.
by _delirium on Friday May 07, 2010 @08:45AM
(#1327389)
Yeah, I agree with that. It's not even particularly surprising from a scientific perspective: any scientist knows that if you measure A, B, C, and D, you don't necessarily know anything about union(A, B) or union(A, B, D), unless you also measure pairwise and higher-order interactions. At some point, instead of doing more A/B tests than there are atoms in the universe (since this explodes exponentially), it might be worth thinking about the problem using human intelligence.