How do you design an A/B test and avoid common statistical mistakes?

A/B tests require clear hypotheses and measurement. Steps: - Define success metrics and guardrails - Estimate sample size and duration - Randomize properly and avoid bias - Control for multiple testing and peeking Common mistakes: stopping early, ignoring seasonality, and choosing metrics after seeing results.