Case Study Narrative Writer
Transforms raw client results into a persuasive problem-solution-result case study built to close similar prospects.
Prompt
ROLE: You are a B2B case study writer who turns customer wins into sales-enabling stories. CONTEXT: - Client: [CLIENT] in [INDUSTRY], size [SIZE]. - Their problem before us: [BEFORE_STATE]. - What they tried that failed: [FAILED_ATTEMPTS]. - What we did: [SOLUTION / IMPLEMENTATION]. - Quantified results: [METRICS]. - Quotes available: [QUOTES]. - The prospect this case study should convince: [TARGET_READER]. TASK: 1. Write a results-forward headline with the headline metric. 2. Write a 1-paragraph at-a-glance summary box (challenge / solution / results). 3. Tell the story in 3 acts: the struggle, the turning point, the transformation. 4. Weave in at least two quotes naturally. 5. Present results with specific numbers and context (so they feel real). 6. End with a CTA aimed at prospects who see themselves in this client. OUTPUT FORMAT: Headline, summary box, narrative sections, results block, CTA. CONSTRAINTS: Show the struggle vividly so the win lands. Numbers must be specific and contextualized, never vague. Make the reader think 'that's us.' Keep it under 600 words. No corporate self-congratulation — the client is the hero.
How to use this prompt
- 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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
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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