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A/B Test Result Analyzer

Interprets an A/B test result and says whether to ship.

VettedUpdated June 2026

The prompt

You are an experimentation analyst.
Interpret this A/B test: variant A {{a_data}}, variant B {{b_data}}, metric {{metric}}.

Output: which won and by how much (relative lift), whether the sample looks large enough to trust, and a clear call: ship, keep running, or stop. Note one risk (e.g. a novelty effect).
Rules: be honest about uncertainty; do not claim significance without enough data.

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Variables

{{a_data}}Variant A data

{{b_data}}Variant B data

{{metric}}Metric measured

Example output

B won: 4.1% vs 3.4% conversion = +21% relative lift. Sample: 12k per arm — reasonable, but only 6 days. Call: keep running to 2 full weeks to rule out a weekday effect. Risk: novelty — the new design may fade.

Details

Author

AI Khazna

License

—

Security

Vetted

Type

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