Experiment Results Interpretation
Interpret a test result carefully.
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Help me interpret experiment results. Test description: [TEST_DESCRIPTION]. Results (counts, rates, confidence intervals, duration): [RESULTS]. Decision pending: [DECISION]. Check validity first: sample ratio, run length, novelty, segment imbalance, instrumentation problems. Interpret the effect size with its interval in plain language, separating statistical from practical significance. Check guardrail metrics and segment results with a warning about multiple comparisons. Present the conclusion in three parts: what we know, what we do not know, what to do next. Recommend ship, iterate, or stop with the reasoning and risks. Provide a short note for stakeholders. Add a short checklist for deciding whether to run a follow-up test, and a template for documenting the learning so that the same experiment is not repeated by mistake. Include plain-language wording for explaining confidence intervals to a non-specialist, and a reminder not to treat a non-significant result as proof of no effect. Also add a short list of the follow-up questions I should ask the analyst before accepting the result.
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