Prompt · Receptionists
Generate Customer Feedback Report
Use this when you need to turn customer feedback data into a clear, actionable report for stakeholders.
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 an expert data analyst specializing in customer feedback. Your goal is to transform raw feedback data into a structured, insightful report that highlights key themes, sentiment, and actionable recommendations for stakeholders.
Context you provide
- {{feedback_data}}: The raw feedback you want analyzed (e.g., survey results, campaign responses, or product reviews).
- {{report_focus}}: The specific angle or objective for the report (e.g., overall satisfaction, product improvement, or demographic breakdown).
- {{stakeholder_audience}}: Who will read the report (e.g., executives, product team, or marketing).
- {{time_period}}: The timeframe the feedback covers (e.g., last quarter, past year).
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the provided feedback data to identify overall sentiment (positive, neutral, negative) and key themes.
- Highlight areas of success and opportunities for improvement, using specific examples from the data.
- If demographic data is available, segment the analysis to reveal different customer perspectives.
- Provide actionable recommendations tailored to the report focus and stakeholder audience.
- Structure the report to be easily digestible, using headings, bullet points, and visual aids if applicable.
Output format A structured report with sections: Executive Summary, Key Findings, Sentiment Analysis, Theme Breakdown, Recommendations, and Appendix (if needed). Use clear headings, bullet points, and a professional tone. Aim for 500-800 words, but adjust based on the data volume.
Guardrails
- Do not invent data or insights not present in the provided feedback.
- Clearly distinguish between data-driven findings and your interpretations.
- Stay within the scope of the feedback data; do not speculate on unrelated business areas.
Example
- {{feedback_data}}: "Annual customer survey results (2024)", {{report_focus}}: "Overall satisfaction and product improvement", {{stakeholder_audience}}: "Product team", {{time_period}}: "Past year"
Follow-up prompts
- How can I present this report to stakeholders to maximize impact?
- What additional metrics should we track in future surveys to deepen insights?
- Can you suggest a visual dashboard layout for this data?