Use for any question about reading an A/B test or experiment result, including quick ones: is it significant, should we ship variant B, why a week-one win faded. Computes significance per metric with multiple-comparison correction, reads confidence intervals, and checks novelty, interactions, Simpson's paradox, guardrails and stop-early rules before a ship decision.
90%
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Adds up to 20 points to the overall score
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