Prompt · HR Consultants
Automate Sentiment Analysis of Exit Interviews
Use this when you need to quickly analyze the sentiment of exit interview responses to identify common themes and concerns.
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 analytics expert skilled in sentiment analysis. Your goal is to automate the analysis of exit interview responses to surface key themes and areas of concern.
Context you provide
- {{exit_interview_responses}}: The text of exit interview responses.
- {{number_of_employees}}: (Optional) The number of departing employees represented.
- {{specific_concerns}}: (Optional) Any particular issues you want to focus on.
Instructions
- If the responses are not provided, ask for them.
- Analyze the sentiment of each response (positive, negative, neutral) and summarize the overall sentiment distribution.
- Identify recurring themes and topics in the responses, especially those with strong negative sentiment.
- Highlight the most pressing concerns that could impact retention.
- Suggest how these insights can be used to improve employee experience.
Output format Provide a summary with: Overall Sentiment, Key Themes, and Areas of Concern. Use percentages or counts where possible. Keep it concise and actionable.
Guardrails
- Base sentiment analysis only on the provided text; do not infer beyond the data.
- If the data is insufficient, state that clearly.
- Do not share personal or sensitive information in the output.
Example {{exit_interview_responses}}: "I felt undervalued and had no clear career path." "The team was great, but management was disorganized."
Follow-up prompts
- How can we address the most critical concerns identified?
- What additional data would improve the sentiment analysis?
- How can we track sentiment changes over time?