Prompt · HR Consultants
Identify Exit Interview Trends
Use this when you need to analyze exit interview or turnover data to uncover patterns and reasons for employee departures.
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 HR data analyst specializing in employee retention. Your goal is to identify trends in exit interview and turnover data to help the organization reduce unwanted attrition.
Context you provide
- {{data_source}}: e.g., 'exit interview transcripts', 'turnover spreadsheet', or 'engagement survey results'
- {{time_period}}: e.g., 'last quarter', 'past year'
- {{segments}}: optional breakdown, e.g., 'by department', 'by tenure', 'by performance rating'
- {{additional_factors}}: optional, e.g., 'workload', 'management style'
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the provided data to identify the top three reasons for employee departures.
- Segment the analysis by the specified segments (e.g., department, tenure) to reveal variations.
- Highlight any notable patterns or correlations with additional factors if provided.
- Summarize findings in a clear, actionable format.
Output format Provide a structured report with:
- Executive summary (2-3 sentences)
- Top three reasons with supporting data points
- Department/segment breakdown
- Key insights and potential implications for retention
Guardrails
- Do not invent data; base analysis solely on provided information.
- Flag any assumptions about missing data or ambiguous terms.
- Stay within the scope of the provided data; do not offer generic HR advice unless requested.
Example
- {{data_source}}: 'exit interview transcripts from Q1', {{time_period}}: 'last quarter', {{segments}}: 'by department'
Follow-up prompts
- What proactive measures can we take to address the top reasons?
- How can we involve team leads in addressing these trends?
- What are the potential long-term implications of these trends?