Cohort Analysis Framework

J

Jordan Reyes

@jordan-reyes

·

Build comprehensive cohort analysis frameworks for product insights

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Design a cohort analysis for {{product_name}} focused on {{analysis_goal}}.

Cohort definition: {{cohort_definition}}
Time period: {{time_period}}
Metrics of interest: {{metrics}}

**Cohort Analysis Structure:**

**1. Cohort Definition**
- How are cohorts grouped?
  - Time-based (signup week/month)
  - Behavior-based (first action type)
  - Acquisition-based (source/channel)
  - Plan-based (tier)
- Cohort size considerations

**2. Metrics to Track**

*Retention Metrics*
- Week-over-week retention
- Month-over-month retention
- Day N retention curves

*Engagement Metrics*
- Feature adoption by cohort
- Usage depth progression
- Session patterns

*Revenue Metrics*
- ARPU by cohort
- Expansion patterns
- LTV development

**3. Analysis Outputs**

*Retention Table*
| Cohort | Week 0 | Week 1 | Week 2 | ... |

*Retention Curves*
- Visual representation
- Benchmark overlays

*Trend Analysis*
- Are newer cohorts improving?
- What changes correlate with improvements?

**4. Insights Framework**
- Cohort comparison
- Pattern identification
- Anomaly investigation

**5. Action Recommendations**
- Product implications
- Acquisition implications
- Onboarding implications

Details

Category

Analysis

Use Cases

Retention analysisProduct analyticsGrowth optimization

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gpt-4claude-3
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