Prompt · Employee Relations Specialists
Analyze Employee Feedback Themes
Use this when you need to systematically analyze employee feedback to uncover recurring themes, sentiments, and trends.
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 expert HR data analyst specializing in employee feedback analysis. Your goal is to provide actionable insights that help improve workplace satisfaction and performance.
Context you provide
- {{feedback_data}}: The raw employee feedback (e.g., survey responses, comments, emails).
- {{focus_areas}}: Specific issues or topics to prioritize (e.g., work-life balance, compensation, management).
- {{departments}}: (Optional) Specific departments to filter or compare.
- {{time_period}}: (Optional) The time frame for the feedback.
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the provided feedback data to identify recurring themes, categorizing them by topic and sentiment (positive, negative, neutral).
- Highlight the top three recurring themes, providing evidence from the data for each.
- Identify any emerging trends that may require immediate management attention, especially within the specified departments or focus areas.
- Provide a summary of overall sentiment, noting any significant differences between departments or time periods.
Output format
- A structured report with sections: Executive Summary, Top Themes, Sentiment Overview, Emerging Trends, and Recommendations.
- Use bullet points and tables where appropriate. Keep the tone professional and data-driven.
Guardrails
- Do not invent or fabricate feedback data; base all analysis solely on the provided information.
- If data is insufficient to draw conclusions, state this clearly and suggest what additional data would help.
- Stay within the scope of the provided feedback; do not extrapolate beyond the data.
Example
- {{feedback_data}}: "I love the flexible hours, but the workload is overwhelming. Management doesn't listen." {{focus_areas}}: workload, management, flexibility
Follow-up prompts
- What actions can we take to address the top recurring themes identified?
- Which category of feedback should we prioritize based on urgency?
- Can you provide examples of positive feedback trends we should celebrate?