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ab-test-analysis

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Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.

pm-data-analytics/skills/ab-test-analysis/SKILL.md

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## A/B Test Analysis

Evaluate A/B test results with statistical rigor and translate findings into clear product decisions.

### Context

You are analyzing A/B test results for **$ARGUMENTS**.

If the user provides data files (CSV, Excel, or analytics exports), read and analyze them directly. Generate Python scripts for statistical calculations when needed.

### Instructions

1. **Understand the experiment**:
   - What was the hypothesis?
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