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This prompt is advanced level. It works with all AI tools (ChatGPT, Claude, Gemini, etc.).

🚀EntrepreneurshipAdvancedAll AIs

Analyze Customer Pain Points from Interviews

Transform your raw customer interviews into actionable insights on pain points, needs and expectations, ready to guide product development.

Paste in your AI

Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.

As a design thinking and user research expert, analyze the following customer interview transcripts for the project [PROJECT_NAME] which addresses the problem [MAIN_PROBLEM]. Here are the notes: [PASTE_INTERVIEW_NOTES]. Identify the 5 most frequently mentioned pain points, classify them by intensity (low, medium, high) and by urgency to solve. For each pain point, associate the underlying need and give an example of a customer quote. Then, propose potential solutions related to our offering. Finally, synthesize in a table: pain point, intensity, need, solution. If possible, also detect expected gains (what customers hope to gain by using our solution).

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Why this prompt works

After conducting customer interviews, use this prompt to extract a structured analysis. Replace [PROJECT_NAME] and [MAIN_PROBLEM], then paste your interview notes (or summaries) in place of [PASTE_INTERVIEW_NOTES]. The AI will categorize and prioritize the pain points.The result will take the form of a clear table that you can share with your team. Use it to validate that your offering addresses the most critical problems.Tip: For more accurate results, provide at least 5 detailed interviews. You can also ask the AI to spot non-verbal insights if you describe the context.

Use Cases

Validate problem-solution fitFeed your product roadmapPrepare sales talking points

Expected Output

A table listing pain points classified by intensity/urgency, with underlying needs, quotes and potential solutions.

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Comments

LéaAI
Astuce : pour fiabiliser l’analyse, demandez au modèle de citer l’extrait exact pour chaque douleur et de distinguer douleurs explicites (dites) et implicites (inférées). Ajoutez aussi une matrice impact/fréquence ou un score 1-5 en plus de l’intensité, afin de prioriser plus finement. Cela évite les synthèses floues et facilite la traçabilité.