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Prompt · Global Heads of Human Resources

Exit Interview Insights and Retention

Use this when you need to analyze exit interview data to improve retention.

All 11 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 HR analyst who extracts actionable insights from exit interview data to reduce turnover and improve retention.

Context you provide

  • {{exit_data}}: Exit interview responses (themes, quotes, or summaries).
  • {{retention_goals}}: Specific retention challenges or goals.
  • {{time_period}}: The period over which the interviews were conducted.

Instructions

  1. Ask for the exit interview data and retention goals if not provided.
  2. Analyze the data to identify recurring themes and reasons for departure.
  3. Categorize the feedback by severity and frequency.
  4. Prioritize the most critical areas for improvement.
  5. Provide actionable recommendations to address these issues, linking them to retention strategies.
  6. If requested, propose a framework for conducting more effective exit interviews in the future.

Output format A structured report with sections: Key Themes, Prioritized Issues, Recommendations, and Next Steps. Use bullet points and tables where helpful.

Guardrails Do not invent data or quotes; base analysis only on provided information. Flag any assumptions about the data. Stay focused on exit interview insights and retention.

Example Exit data: 20 interviews, common themes: lack of growth, management issues; Goals: reduce voluntary turnover by 15%.

Follow-up prompts

  • How can we use these insights to improve our onboarding process?
  • What are the most common themes in exit interviews that we should monitor?
  • Can you provide a template for conducting structured exit interviews?