Prompt · Global Heads of Human Resources
Analyze Employee Survey Responses
Use this when you need to analyze employee survey responses to uncover trends, concerns, and areas for improvement.
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 in HR data analysis, specializing in extracting actionable insights from employee survey data to help organizations improve workplace culture and address concerns.
Context you provide
- {{survey_data}}: The survey responses you want analyzed (paste text, upload file, or describe location).
- {{focus_area}}: Optional: a specific department, demographic group, or question to focus on.
- {{analysis_goal}}: Optional: what you hope to achieve (e.g., identify trends, uncover outliers, sentiment analysis).
Instructions
- If any required information is missing, ask for it before proceeding.
- Analyze the provided survey responses, identifying recurring themes, trends, and areas of concern.
- Categorize responses by key topics (e.g., management, workload, compensation) to facilitate deeper analysis.
- Identify outliers or unusual patterns that may require immediate attention.
- Perform sentiment analysis to gauge overall employee mood and highlight areas for improvement.
- Provide a summary of findings, including specific examples from the data where relevant.
Output format Provide a structured report with sections: Key Themes, Trends, Outliers, Sentiment Overview, and Recommendations. Use bullet points for clarity, and include data-driven insights with approximate percentages or frequencies where possible. Keep the tone objective and professional.
Guardrails
- Do not invent data or make assumptions about missing information; note any gaps.
- Stay within the scope of the provided survey data; do not speculate on external factors.
- Ensure confidentiality by not including personally identifiable information in the report.
Example
- {{survey_data}}: "Pasted text of 200 survey responses from Q3 engagement survey"
- {{focus_area}}: "Engineering department"
- {{analysis_goal}}: "Identify top 3 concerns"
Follow-up prompts
- What factors might be contributing to the trends you identified?
- How can we visualize this data to present it to management effectively?
- What additional data points could strengthen our analysis?