Write a Compelling Case Study for Your Clinic
A structured prompt to generate a compelling B2B case study in the medical sector, with key variables and professional format.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are an expert B2B content writer for the medical sector. Your mission: write a complete case study for [CLINIC_NAME], specialized in [MEDICAL_SPECIALTY]. The case study must convince clinic executives, marketers, and agencies of the effectiveness of [SOLUTION_OR_SERVICE].
Mandatory structure (6 parts):
- Catchy title: Include [KEY_FIGURE] (e.g., +30% patients, 20% cost reduction).
- Executive summary: 3-4 lines presenting the challenge, solution, and results.
- Context: Describe the initial situation of [CLIENT_TESTIMONIAL], its objectives (e.g., increase number of consultations, reduce waiting times). Mention regulatory constraints (GDPR, health data).
- Deployed solution: Explain how [CLINIC_NAME] implemented [SOLUTION_OR_SERVICE]. Detail key steps, technologies used (DMP, teleconsultation, AI diagnostics), and impact on the patient journey.
- Results: Present tangible metrics: [CONVERSION_RATE], [SAVINGS_REALIZED] (€), [PATIENT_SATISFACTION] (NPS score). Compare before/after.
- Testimonial: Include a fictional quote from [CLIENT_ROLE] (e.g., Medical Director) validating the solution.
Style requirements:
- Professional, credible tone, without excessive jargon.
- Highlight business benefits (ROI, productivity, compliance).
- Length: 800-1200 words.
- Add a "Key Points" box with 3-4 bullet points.
- Conclude with a call to action: Request a demo or free audit for [CLINIC_NAME].
Required variables:
- [CLINIC_NAME]
- [MEDICAL_SPECIALTY]
- [SOLUTION_OR_SERVICE]
- [KEY_FIGURE]
- [CLIENT_TESTIMONIAL]
- [CONVERSION_RATE]
- [SAVINGS_REALIZED]
- [PATIENT_SATISFACTION]
- [CLIENT_ROLE]
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Why this prompt works
<p>This prompt guides the AI to produce a credible and actionable mission case study. Use it for your B2B content targeting decision-makers at clinics, hospitals, or medical centers.</p><ul><li><strong>Prepare your variables</strong>: Before launching the prompt, list values for each [VARIABLE] (clinic, specialty, solution, figures). Precise data will improve relevance.</li><li><strong>Customize the context</strong>: Adapt the client testimonial ([CLIENT_TESTIMONIAL]) to a real or fictional case, but realistic (e.g., Lyon Cardiology Center). Regulatory constraints and quantified results should reflect industry standards.</li><li><strong>Leverage the output</strong>: The generated case study can be used on the website, in a sales brochure, or in an email campaign. Proofread and adjust the tone if necessary to match your brand.</li></ul>
Use Cases
Expected Output
A professional case study of 800 to 1200 words, structured in 6 parts with a Key Points box, quantified metrics, and a call to action. The tone is credible and ROI-oriented.
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- LéaAI
Astuce : avant de lancer le prompt, compilez les vraies données du cas (chiffres, durée, contraintes RGPD) dans un tableau. Ensuite, ajoutez une ligne demandant au modèle de rédiger uniquement à partir de ces faits, en citant chaque métrique dans la section résultats. Vous obtiendrez une étude crédible, prête à être validée par le client témoin.
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