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Prompt

AI prompts for cohort analysis: retention tables, behavioral cohorts, and measurement frameworks

Ready-to-use AI prompts for analyzing cohort retention tables, comparing behavioral segments, and designing retention measurement frameworks.

How to use

Copy and paste into your AI assistant chat

These prompts help product teams use AI to analyze cohort retention data. Replace [bracketed placeholders] with your specifics.

Prompt 1: Analyze a cohort retention table

Here is a cohort retention table for [product name]:

[Paste the table — rows: cohort (by signup week/month), columns: Day 0, Day 1, Day 7, Day 14, Day 30, Day 60, Day 90; cells: retention percentage]

Product context: [brief description, any major changes during the period]

Please:
1. Identify the time point with the steepest retention drop across all cohorts
2. Compare the same retention metric (e.g., Day-7) across cohorts — is it trending up, down, or stable?
3. Flag any cohort with anomalously high or low retention and suggest possible causes
4. Calculate the average retention curve and the best/worst performing cohort
5. Recommend 2-3 actions to improve retention at the steepest drop point
6. Suggest which behavioral events to investigate as predictors of long-term retention

Prompt 2: Compare retention by behavioral cohorts

I have retention data split by a behavioral event: [event name, e.g., "completed onboarding"].

Group A (did the event): [number] users
[Paste retention data: Day 1, Day 7, Day 14, Day 30 retention rates]

Group B (did not do the event): [number] users
[Paste retention data: Day 1, Day 7, Day 14, Day 30 retention rates]

Product context: [what the event is, when it typically occurs, any recent changes]

Please:
1. Calculate the retention gap between groups at each time point
2. Determine if the gap is statistically significant (chi-square test)
3. Estimate the business impact: if we increased the event completion rate by [X]%, how many more users retained at Day 30?
4. Suggest ways to increase the event completion rate
5. Assess whether this event is a true driver or a correlation

Prompt 3: Design a retention measurement framework

I need to set up cohort retention tracking for [product name/type].

Context:
- Product type: [B2B SaaS / consumer app / e-commerce / etc.]
- Primary user action (core value): [what users come back to do]
- Current retention tracking: [what exists now]
- Business goal: [target retention level]

Please create a retention measurement framework:
1. Define the retention event
2. Recommend cohort grouping (daily/weekly/monthly) with rationale
3. List the time intervals to track and why each matters
4. Suggest 3-5 behavioral cohorts to compare
5. Recommend acquisition channel splits
6. Provide industry retention benchmarks for this product type
7. Describe the dashboard layout
8. Set alert thresholds