AB Tasty experiment pitfalls: peeking, SRM, micro-segments, and guardrails
What the docs say:
Official docs (AB Tasty, Measure and Learn): lists the common pitfalls that invalidate experiments. Stopping too early (peeking) before the trend stabilizes. Ignoring an SRM (sample ratio mismatch, abnormal traffic split between variants) or a tracking issue. Concluding from an unplanned micro-segment. Confusing relative and absolute uplift. Ignoring quality or service metrics that act as guardrails.
What works:
Before calling an AB Tasty experiment: let it run until the trend stabilizes, peeking early is the classic way to ship a false win. Check for SRM first, an abnormal traffic split means the randomization is broken and no result can be trusted. Never conclude from a micro-segment you did not plan. Report absolute uplift alongside relative, and watch guardrail metrics so a conversion win that tanks quality does not ship.Maintainer review
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