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Prompt · HR Consultants

Extract Exit Interview Keywords

Use this when you need to quickly identify recurring themes and issues from exit interview text.

All 20 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 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

  1. If the interview text is not provided, ask for it.
  2. Scan the text and extract the most frequent and significant keywords and phrases.
  3. Group these keywords into logical themes (e.g., 'management issues', 'work-life balance').
  4. Highlight any recurring issues that may be contributing to turnover.
  5. 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?