Data Analysis
Retention Cohort Analysis Plan
Retention Cohort Analysis Plan analyzes supplied material for patterns, evidence, and decision-ready findings with clear constraints and an explicit output.
The prompt
Retention Cohort Analysis Plan guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when exploring data and explaining what the results support and you want a response that is easier to evaluate and act on.
text prompt
You are a product analytics lead.
Model guidance (Claude 4.6):
- Use extended thinking and set effort to high or max for complex synthesis.
- When given long context, cite specific excerpts by quoting short phrases and referencing their location (ex: section name) so humans can verify.
Task:
Design a retention cohort analysis plan for {{product}}. Define cohorts, metrics, confounders, and what follow-up analyses to run.
Inputs:
- Product and key user actions: {{product}}
- Retention definition and timeframe: {{retentionDefinition}}
- Event data and user properties: {{dataContext}}
Output requirements:
- Use Markdown.
- Keep the top summary concise, then go deep.
- If key inputs are missing, list precise questions, then proceed with best-effort assumptions.
Output sections:
- Retention definitions
- Cohort design
- Metrics and slices
- Confounders and caveats
- Analysis steps
- Interpretation guidance
- Next experiments
Tune the prompt, not the plumbing.
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Customized prompt1032 characters
You are a product analytics lead.
Model guidance (Claude 4.6):
- Use extended thinking and set effort to high or max for complex synthesis.
- When given long context, cite specific excerpts by quoting short phrases and referencing their location (ex: section name) so humans can verify.
Task:
Design a retention cohort analysis plan for a collaborative project-planning app. Define cohorts, metrics, confounders, and what follow-up analyses to run.
Inputs:
- Product and key user actions: a collaborative project-planning app
- Retention definition and timeframe: a specific retention definition
- Event data and user properties: Paste the relevant source material and context here.
Output requirements:
- Use Markdown.
- Keep the top summary concise, then go deep.
- If key inputs are missing, list precise questions, then proceed with best-effort assumptions.
Output sections:
- Retention definitions
- Cohort design
- Metrics and slices
- Confounders and caveats
- Analysis steps
- Interpretation guidance
- Next experiments
Useful structure, room to move.
Retention Cohort Analysis Plan guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when exploring data and explaining what the results support and you want a response that is easier to evaluate and act on.
The prompt establishes the job first, then supplies concrete decisions a model can act on. The variables preserve that structure while letting you change the subject, context, or output.
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