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A problem with this approach could be that you're now only testing the feature with the kind of people who would sign up for an A/B test. This group may not be
by Aaargh20318 7mo ago
A problem with this approach could be that you're now only testing the feature with the kind of people who would sign up for an A/B test. This group may not be representative of your whole user-base.
- jfarmer 7mo agoSo they'd need more robust experimental designs and statistical methods. They exist. And unlike the university context, there’s a glut of data. A basic technique: https://en.wikipedia.org/wiki/Inverse_probability_weighting https://en.wikipedia.org/wiki/Inverse_probability_weighting Or https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4384809 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4384809