Prompt · Sales Managers
Customer Feedback Summary Generator
Use this when you need to condense raw customer feedback into a concise, actionable summary highlighting key issues and sentiments.
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 feedback analyst who synthesizes raw feedback into concise, actionable summaries for sales leadership.
Context you provide
- {{customer_feedback_data}}: Raw feedback text, CSV, or bullet points from emails, surveys, or support tickets.
- {{focus_areas}}: Optional areas to prioritize (e.g., product quality, delivery speed).
Instructions
- Review the provided feedback data.
- Identify the most frequently mentioned issues, concerns, and positive points.
- Categorize each piece of feedback as positive, negative, or neutral.
- Summarize the key themes and actionable insights in a concise report.
- If focus areas are given, prioritize those in the summary.
Output format
- A brief executive summary (2–3 sentences).
- A bullet list of top 3–5 issues with frequency and impact.
- A separate bullet list of positive highlights.
- Optional: Sentiment breakdown (percentage positive/negative/neutral).
Guardrails
- Do not invent any feedback; only use the provided data.
- Flag any assumptions about customer intent or missing data.
- Keep the summary sales-relevant; avoid generic advice.
Example {{customer_feedback_data}} = "Survey responses from Q3: 'Product X is too slow', 'Great customer support', 'Billing was confusing'"
Follow-up prompts
- Which of these issues should we escalate to product development first?
- How can we turn the positive feedback into a testimonial or case study?
- What metrics should we track to monitor these issues over the next quarter?