Individual skill

trustworthy-experiment-insights

Assess whether experiment results are credible enough to influence product decisions. Use when checking false positive or false negative risk, underpowered metrics, suspiciously large lifts, replication needs, meta-analysis, stratified sampling, covariate adjustment, or whether A/B test insights should be trusted.

plugins/LVTD-LLC/skills/skills/trustworthy-experiment-insights/SKILL.md

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SKILL.mdcore · 3,330 bytes
guidelines.mddoc · 1,844 bytes
references/core/examples.mddoc · 2,515 bytes
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references/core/rules.mddoc · 2,427 bytes
workflows/review-experiment-credibility.mddoc · 2,545 bytes

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# Trustworthy Experiment Insights

Use this skill to decide whether an experiment result is believable enough to
shape a product or engineering decision. It focuses on false positives, false
negatives, power, replication, meta-analysis, stratified sampling, covariate
adjustment, and suspicious result review.

## Source Traceability

Primary source: *Next-Level A/B Testing* by Leemay Nassery. Guidance is
transformed and paraphrased from Chapter 6 on false positives and negatives,
meta-analysis, metric sensitivity, stratified random sampling, covariate
adjustments, replication, longer runs, and statistical power.