trustworthy-experiments

SKILL.md

Trustworthy Experiments is a framework for running controlled experiments (A/B tests) that produce reliable, actionable results. The core insight: most experiments fail, and many "successful" results are actually false positives.

The key shift: Move from "Did the experiment show a positive result?" to "Can I trust this result enough to act on it?"

Ronny Kohavi, who built experimentation platforms at Microsoft, Amazon, and Airbnb, found that:

當被要求「執行 A/B 測試」、「設計實驗」、「檢查統計顯著性」、「相信我們的結果」、「避免誤報」或「實驗護欄」時使用。幫助正確設計、運作和解釋受控實驗。基於 Ronny Kohavi 的「值得信賴的線上控制實驗」框架。 來源：pmprompt/claude-plugin-product-management。

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