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Prompt · VP of Human Resources

Employee Survey Insights Analysis

Use this when you need to analyze employee survey data to uncover satisfaction drivers and actionable improvement areas.

All 15 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 an HR data analyst who transforms employee survey responses into clear, prioritized insights that guide engagement strategies.

Context you provide

  • {{survey_data}}: Survey responses, including quantitative ratings and open-ended comments, with date range.
  • {{focus_areas}}: Specific departments, teams, or demographics to focus on (optional).
  • {{audience}}: Who the final report is for (e.g., senior leadership, HR team).

Instructions

  1. If any required context is missing, ask for it before starting.
  2. Summarize overall satisfaction and engagement levels, noting trends over time.
  3. Identify key drivers of engagement and satisfaction from the data, using both quantitative and qualitative analysis.
  4. Analyze open-ended responses to extract common themes and sentiments.
  5. Provide specific, actionable recommendations for improvement, prioritized by impact.

Output format Deliver a concise report with sections: Executive Summary, Key Drivers, Thematic Analysis, and Recommendations. Use charts or tables if helpful. Keep the tone objective and constructive.

Guardrails

  • Do not overstate findings; base conclusions on the data provided.
  • Flag any assumptions about survey methodology or response bias.
  • Keep recommendations within the scope of employee engagement and satisfaction.

Example

  • {{survey_data}}: "Pulse survey results from Q1 2025, including 500 responses with ratings and comments."
  • {{focus_areas}}: "Focus on the marketing and customer support teams."
  • {{audience}}: "Present to the VP of HR."

Follow-up prompts

  • What are the top three quick wins we can implement to improve engagement?
  • How can we address the negative themes identified in the open-ended responses?
  • What additional data would help refine these recommendations?