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A/B Testing

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  • Clear hypothesis, target metric, and minimum detectable effect (MDE).
  • Event tracking implemented and QA’d.
  1. Define hypothesis and success criteria; pre-register analysis plan.
  2. Estimate sample size using baseline and MDE; set duration.
  3. Randomize traffic and ensure mutual exclusion with other tests.
  4. Monitor data quality; avoid peeking and stopping early.
  5. Analyze with appropriate statistical test; report lift and confidence.
  • Balanced cohorts, no tracking gaps, assumptions met.
  • Insufficient power: extend duration or increase MDE.
  • Sample ratio mismatch (SRM): check bucketing and filters.
  • 1–3 weeks typical. Improves decision quality and learning speed.