A/B test design
Designs an A/B test — hypothesis, variants, primary metric, MDE, sample size, duration.
Stops "let's just see if it converts" experiments that yield nothing.
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Reads cohort data + surfaces retention shape, decay rate, and "is this curve flat enough?".
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Breaks a top-line metric (e.g. ARR) into a tree of contributing inputs the team can act on.
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