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Retention Hypothesis Generator

Diagnose why users are churning with data-driven hypotheses, structured experiments to validate each one, and prioritized recommendations.

Data Analysis5 blanksby @library

The prompt

812 characters
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
812 characters

About this prompt

by @library · Feb 20, 2026

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Details

Category
Data Analysis
Suggested models
GPT, Claude, Gemini
Blanks
5
Published
Feb 20, 2026
GoodPrompts Library@library · 91 published
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