If you force users into having to come up with hacks to use your product/service the way that feels natural to them, you will train your models based on hacks. You can't derive insights that way, you can only build more convoluted hacks.
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User behavior is often deterministic, not stochastic. If you can describe easily your desired outcome in words, applying statistical techniques should not be where you're starting.
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Here's an example. Suppose you're making, I don't know, a hotel booking service, and you allow your users to enter a price range. How hard is it for users to manipulate that price range to meet their needs? Is it annoying? Natural? Does this reflect what people actually want?
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If you have a bad user flow, you have to take this into account. This is kind of an equivalent of right-censored data: you're artificially cutting off behavior based on what you make available.
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So what you actually need to do is precondition your training data with survivorship models first.
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