product-analytics
Product Analytics
Frameworks for turning raw product data into ship/extend/kill decisions. Covers A/B testing, cohort retention, funnel analysis, and the statistical foundations needed to make those decisions with confidence.
Quick Reference
| Category | Rules | Impact | When to Use |
|---|---|---|---|
| A/B Test Evaluation | 1 | HIGH | Comparing variants, measuring significance, shipping decisions |
| Cohort Retention | 1 | HIGH | Feature adoption curves, day-N retention, engagement scoring |
| Funnel Analysis | 1 | HIGH | Drop-off diagnosis, conversion optimization, stage mapping |
| Statistical Foundations | 1 | HIGH | p-value interpretation, sample sizing, confidence intervals |
Total: 4 rules across 4 categories
A/B Test Evaluation
Load rules/ab-test-evaluation.md for the full framework. Quick pattern:
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