Turn a rough idea into a rigorous A/B test with a falsifiable hypothesis, clear metrics, and a valid sample-size plan.
## CONTEXT A growth or product team wants to run a statistically sound A/B test instead of shipping changes on gut feel. Too often teams launch a variant, watch the dashboard, and declare victory the moment the line ticks up, which produces false positives and wasted effort. A rigorous test starts with a falsifiable…
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