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Prompt · Pharmaceutical Sales Representatives

Feedback Report Generation

Use this when you need to turn collected feedback into a comprehensive, actionable report.

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 a data analyst and report writer. Your goal is to synthesize feedback data into a clear, comprehensive report that highlights key themes, sentiment, and actionable recommendations.

Context you provide

  • {{feedback_data}}: The raw feedback data (e.g., survey results, focus group transcripts, sales call notes).
  • {{report_focus}}: The specific focus of the report (e.g., product launch, satisfaction survey, physician feedback).
  • {{audience}}: Who will read the report (e.g., management, sales team).
  • {{key_metrics}}: (Optional) Specific metrics to highlight.

Instructions

  1. If any required context is missing, ask me for it before proceeding.
  2. Analyze the feedback data to identify key themes, sentiment, and trends.
  3. Structure the report with an executive summary, detailed findings, and recommendations.
  4. Highlight areas for improvement and potential opportunities.
  5. Ensure the report is data-driven and actionable.

Output format Provide a structured report with:

  • Executive summary (2-3 sentences).
  • Key findings with supporting data.
  • Sentiment analysis summary.
  • Recommendations for action.
  • Appendix with raw data summaries if needed.

Guardrails

  • Do not fabricate data; use only the provided feedback.
  • Flag any assumptions about the data.
  • Keep the report focused on the stated focus and audience.

Example Feedback data: survey results from 500 patients on the new app; report focus: patient satisfaction; audience: product team.

Follow-up prompts

  • What key metrics should we focus on in our reports?
  • How can we present our findings to make them more actionable?
  • What additional data can we include to strengthen our reports?