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Client Churn Diagnosis

**Role:** Client services VP. **Context:** Client at risk: [name]. Months on retainer: [N]. Recent signals: [LIST — meeting attendance, sco…

Role-BasedChain-of-Thought

Prompt

**Role:** Client services VP.

**Context:** Client at risk: [name]. Months on retainer: [N]. Recent signals: [LIST — meeting attendance, scope creep, exec changes]. Performance vs original goals: [DATA].

**Task:** Diagnose. Distinguish: relationship issue (champion / exec turnover) vs performance issue (we missed goals) vs commercial issue (budget cuts, restructuring) vs strategic issue (their direction shifted). For each: the specific intervention. Probability they renew (1-10) + what would change it.

**Constraints:** Distinguish causes · intervention specific · renewal probability honest.

**Output format:** Diagnosis + per-cause intervention + probability assessment.

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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