Classify experiment readouts based on significance, power, confidence interval, and guardrails.
Sort each readout into the decision it best supports. Ship Iterate Rerun Stop Primary metric significant, absolute lift exceeds threshold, guardrails clean Pre-planned segment passes significance and was powered separately Missed alpha narrowly, interval still includes meaningful upside, guardrails neutral Primary metric flat, diagnostic shows users engage with the new mechanism Sample-ratio mismatch suggests assignment or logging broke Stopped early without a valid sequential rule but the question is still high value Well-powered test rules out the minimum effect worth shipping Primary metric negative and a trust guardrail breached chip-tray sort-buckets score-chip
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