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.
Product Managementv0.1.0MITpractical-ab-testingnext-level-ab-testingab-testingexperimentationanalytics
Install
npx skills add LVTD-LLC/skills --skill trustworthy-experiment-insightsFrom `SKILL.md`
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