Use when an A/B test result is read for a ship decision, especially off a dashboard, a small sample or many metrics. Computes significance per metric with multiple-comparison correction, reads confidence intervals, checks novelty, interactions, Simpson's paradox, guardrails and stop-early rules.
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The canonical home for this skill is testland/experiment-results-interpreter
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