Individual skill
experiment-results-analysis
Analyze completed experiment results with effect sizes, uncertainty, guardrails, limitations, and evidence-based next steps. Use for: experiment results, A/B test analysis, test readout, experiment decision.
.grok/skills/experiment-results-analysis/SKILL.md
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- Last checked
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- Repository last updated
- Oct 21, 2026
- License
- MIT
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- agent-skills Repository topic
- ai-agents Repository topic
- grok Repository topic
- prompt-engineering Repository topic
- workflow-automation Repository topic
- testing Derived category
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# Experiment Results Analysis
## Purpose
Create an honest experiment readout that separates measured outcomes from interpretation and avoids treating inconclusive data as a decision.
## Workflow
1. Record the hypothesis, variants, primary metric, guardrails, sample sizes, time window, and pre-defined stopping rule when available.
2. Check data quality, assignment integrity, missing values, and material deviations from the experiment plan.
3. Report primary and guardrail metrics with effect estimates, uncertainty, and the method used.
4. Review relevant segments cautiously; label exploratory segment findings and avoid overinterpreting small samples.
5. State whether the evidence supports shipping, iterating, stopping, or gathering more data.
6. Capture learnings, limitations, and next steps.