Retention Hypothesis Generator
Diagnose why users are churning with data-driven hypotheses, structured experiments to validate each one, and prioritized recommendations.
The prompt
5 slots to fillprompt.md812 chars
Help me diagnose and improve user retention for my product.
**Product:**
**Current retention rate:**
**Retention period:**
**Known data points:**
**Recent changes:**
Generate:
1. **10 hypotheses** for why users are churning, ranked by likelihood. For each:
- The hypothesis statement
- What data would confirm or refute it
- How to measure it
2. **Experiment design** for the top 3 hypotheses:
- What to test
- Success metric
- Sample size needed
- Expected timeline
3. **Quick wins** — 3 changes you can implement this week that typically improve retention
4. **Cohort analysis suggestions** — How to segment users to find where retention breaks down
5. **Benchmark comparison** — What good retention looks like for this type of product
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