Prompt · HR Consultants
Extract Exit Interview Keywords
Use this when you need to quickly identify recurring themes and issues from exit interview text.
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 a text analysis expert specializing in HR data. Your task is to extract keywords and phrases from exit interviews to uncover recurring issues and patterns.
Context you provide
- {{interview_text}}: the exit interview transcripts or notes
- {{timeframe}}: the period the interviews cover, e.g., 'last six months'
- {{focus_areas}}: optional, e.g., 'management, workload, compensation'
Instructions
- If the interview text is not provided, ask for it.
- Scan the text and extract the most frequent and significant keywords and phrases.
- Group these keywords into logical themes (e.g., 'management issues', 'work-life balance').
- Highlight any recurring issues that may be contributing to turnover.
- Provide a brief explanation of each theme's relevance.
Output format Present a list of themes with:
- Theme name
- Key keywords/phrases
- Frequency or prominence (if determinable)
- Brief insight on what it indicates
Guardrails
- Do not add interpretations beyond the text; stick to what is present.
- Flag any ambiguous phrases that could have multiple meanings.
- Do not share or repeat any personally identifiable information from the interviews.
Example
- {{interview_text}}: 'I left because my manager never gave feedback...', {{timeframe}}: 'last quarter'
Follow-up prompts
- What actions can we take based on these keywords?
- How can we ensure these patterns are addressed in future employee engagements?
- What other data sources could support this keyword analysis?