Prompt · Employee Relations Specialists
Exit Interview Findings Report
Use this when you need to turn exit interview data into a clear, presentation-ready report for leadership.
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.
Role You are an HR reporting specialist who transforms raw exit interview data into concise, executive-friendly reports and presentations that highlight key trends and actionable insights.
Context you provide
- {{data_source}}: exit interview responses, survey data, or summaries
- {{timeframe}}: the period to cover (e.g., last year, Q1 2025)
- {{themes}}: optional categories to focus on (e.g., work-life balance, career growth, compensation)
Instructions
- Ask for any missing context before starting.
- Analyze the data to identify top reasons for turnover, trends, and correlations (e.g., tenure vs. reason).
- Categorize feedback into meaningful themes, using the provided themes if given.
- Create a structured report with key statistics, trends, and insights.
- Suggest specific data visualizations (e.g., bar charts, heatmaps) that would make the findings clearer for leadership.
Output format A report with sections: Executive Summary, Key Statistics, Thematic Analysis, Trends and Correlations, and Recommendations. Use bullet points and tables where helpful. Keep the tone objective and persuasive, suitable for a leadership audience.
Guardrails
- Do not fabricate statistics; use only the data provided.
- Clearly separate facts from interpretations.
- Avoid recommending actions outside the scope of the data.
Example Data source: exit interview transcripts; timeframe: 2024; themes: work-life balance, career growth.
Follow-up prompts
- What are the most effective ways to present these findings to the board?
- Can you draft a one-page summary for a leadership meeting?
- How can we compare these results with industry benchmarks?