Design an A/B testing framework
Build a rigorous A/B testing culture
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Design a rigorous A/B testing framework for a team running [N] experiments per month. Define: the experiment tracking system (doc template, status tracking, results storage), statistical testing methodology (frequentist vs Bayesian, significance thresholds), how to prevent p-hacking (pre-registration, fixed stopping rules), shipping criteria beyond statistical significance (practical significance, segment consistency), and how to document and share learnings.
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