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Prompt · Receptionists

Generate Customer Feedback Report

Use this when you need to turn customer feedback data into a clear, actionable report for stakeholders.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. 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

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided feedback data to identify overall sentiment (positive, neutral, negative) and key themes.
  3. Highlight areas of success and opportunities for improvement, using specific examples from the data.
  4. If demographic data is available, segment the analysis to reveal different customer perspectives.
  5. Provide actionable recommendations tailored to the report focus and stakeholder audience.
  6. 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?