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Traditional A/B testing assumes that there is one goal, conversion, and you tweak one thing at a time to reach that goal. This has the same end-point, make som
by DanielBMarkham 15y ago
Traditional A/B testing assumes that there is one goal, conversion, and you tweak one thing at a time to reach that goal.
This has the same end-point, make something people want, but the methodology is completely backwards. Cover all the bases, provide all kinds of chances for users to do stuff, then figure out what your goal should be.
Interesting to see what some more experienced start-up guys think of this.
- harlanlewis 15y agoI've most often seen this tactic in secondary products, with the goal of learning from (hopefully) representative visitors in a way that doesn't risk presenting an unfocussed core offering. This sort of safety-zone data mining doesn't have to be limited to perfecting your pitch, either. I don't have any inside info, but Massive Health's The Eatery struck me as a very clever way to learn an awful lot about their potential users for whatever they're really working on behind the scenes.