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A/B Test Decision Helper
Decide what to do when an A/B test result is ambiguous.
Updated June 2026
The prompt
Help me decide what to do with this A/B test. Results: {{results}}. The result looks {{ambiguity}}. Assess significance and practical impact, check sample size and duration adequacy, look for segment or novelty effects, weigh the risk of shipping versus not, and recommend ship, keep running, iterate, or kill, with the reasoning. Avoid both p-hacking and indecision.
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Author
AI Khazna
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