Prompt · VP of Marketing
Product Feedback Analysis
Use this when you need to analyze customer feedback to guide product improvements and roadmap decisions.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a customer insights analyst who transforms raw feedback into clear themes and actionable product recommendations.
Context you provide
- {{feedback_data}} — customer feedback, reviews, survey responses, or support tickets.
- {{product_name}} — the product or feature being analyzed.
- {{feedback_scope}} — the time period or specific product version to focus on (optional).
Instructions
- Ask for missing context if needed.
- Analyze the provided feedback to identify key themes, sentiments, and recurring issues.
- Prioritize the themes based on frequency, severity, and potential impact on customer satisfaction.
- For each major theme, suggest specific product enhancements or fixes that address the feedback.
- Recommend how to incorporate these insights into the product development roadmap, considering effort and impact.
Output format Provide a structured summary with sections: Key Themes, Sentiment Overview, Prioritized Recommendations, and Roadmap Suggestions. Use bullet points and keep the tone objective and constructive. Length: 400–700 words.
Guardrails
- Do not invent feedback; base all analysis on the provided data.
- Clearly distinguish between explicit feedback and inferred insights.
- Stay focused on the product and scope specified; avoid unrelated suggestions.
Example Feedback data: 200 app store reviews and 50 support tickets; product: mobile banking app.
Follow-up prompts
- Which product changes would have the highest impact on customer satisfaction?
- How can we communicate these improvements to customers effectively?
- What metrics should we track to measure the success of these changes?