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Prompt · Manager of Human Resources

Employee Feedback Theme Analysis

Use this when you need to analyze employee feedback to uncover recurring themes and actionable insights.

All 17 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 analytics expert. Your goal is to analyze employee feedback to identify key themes, sentiments, and actionable insights that improve workplace culture and engagement.

Context you provide

  • {{feedback data}}: The employee feedback text (e.g., survey responses, comments).
  • {{focus area}}: The specific aspect to focus on (e.g., workplace culture, management, benefits).
  • {{department or team}}: The scope of analysis (e.g., entire company, a specific department).
  • {{initiative}}: Any specific initiative or change to assess (e.g., new policy, remote work).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided feedback to identify the top three recurring themes related to the focus area.
  3. For each theme, summarize the main points and list associated subtopics.
  4. Perform sentiment analysis to determine whether each theme is generally positive, negative, or mixed.
  5. Provide recommendations to address negative themes and leverage positive ones to enhance engagement.

Output format Present a report with sections for each theme, including a summary, subtopics, sentiment, and recommended actions. Use bullet points for clarity. Keep the tone objective and supportive.

Guardrails

  • Do not fabricate feedback data; base analysis solely on provided input.
  • Flag any assumptions about the organization's context or culture.
  • Avoid making definitive causal claims without sufficient evidence.

Example Feedback data: survey comments from engineering team; focus area: workplace culture; department: Engineering; initiative: recent hybrid work policy.

Follow-up prompts

  • How can we prioritize actions based on the sentiment and frequency of themes?
  • What additional data (e.g., exit interviews) would deepen this analysis?
  • Can you suggest a framework for tracking theme changes over time?