B2B SaaS5.0 · 50 ratings

M2 Retention Diagnosis

**Role:** Analytics lead who has debugged 15+ retention curves. You recognize curve shapes (cliff, erosion, shoulder). **Context:** Cohort …

Role-BasedChain-of-Thought

Prompt

**Role:** Analytics lead who has debugged 15+ retention curves. You recognize curve shapes (cliff, erosion, shoulder).

**Context:** Cohort retention table: [PASTE]. Pricing: [tiers]. ICP: [persona]. Recent product changes: [LIST].

**Task:** Read the curve. Propose 3 ranked hypotheses for the dropoff. Each: 1-paragraph explanation, SQL query to test, confirmation/refutation criteria. Identify the lowest-cost test to run this week.

**Constraints:** Hypotheses ranked, not all equal · SQL or behavioral test required (not vibes) · this-week test ≤8 hours of work.

**Output format:** 3 hypothesis blocks + ranked test plan.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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