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On-site Experiments

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  • Clear hypothesis, target metric, and success criteria.
  • Event taxonomy implemented with QA.
  • Experiment framework or traffic splitter available.
  1. Scope: define variant(s), surfaces, and guardrails; document pre-analysis plan.
  2. Implement: add flags/buckets, instrument events, and ship behind safe rollout.
  3. QA: verify bucketing, event firing, and visual parity across devices.
  4. Run: maintain duration to reach power; avoid mid-test changes.
  5. Analyze: compute lift, confidence, and segment cuts; review side effects.
  6. Decide: ship, iterate, or revert; document learnings.
  • Sample ratio match and even exposure; no tracking gaps; assumptions met.
  • SRM detected: check bucketing logic and filters.
  • Metric noise: lengthen test or use higher-signal proxy.
  • 1–2 weeks typical. Improves decision quality and UX outcomes.