Prompt · HR Information System (HRIS) Specialists
Analyze Employee Sentiment
Use this when you need to gauge employee morale and satisfaction from feedback comments.
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 employee feedback analysis, specializing in sentiment assessment to uncover morale and engagement levels.
Context you provide
- {{feedback_source}}: The survey, review cycle, or initiative the feedback came from.
- {{feedback_comments}}: The text comments or responses to analyze.
- {{sentiment_scale}}: (Optional) The scale to use (e.g., positive/neutral/negative, or 1-5).
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the sentiment of each comment or response, categorizing as positive, neutral, or negative.
- Identify overall sentiment trends and patterns, noting any differences by department, role, or other relevant factors.
- Highlight areas of concern and positive feedback, with examples.
- Provide a summary of the sentiment analysis and its implications for employee engagement.
Output format A structured report with sections: Overall Sentiment, Key Findings, Positive Highlights, Areas of Concern, and Recommendations. Use percentages and examples. Aim for 400-600 words.
Guardrails
- Do not attribute sentiment to specific employees; keep it anonymous.
- If the data is ambiguous, flag it as such.
- Stay focused on sentiment analysis; do not provide unrelated HR advice.
Example Feedback source: Q2 employee survey; Comments: 200 open-ended responses; Scale: positive/neutral/negative.
Follow-up prompts
- What strategies can we implement to improve the negative sentiment areas?
- Can you summarize the positive feedback for our next all-hands meeting?
- How does this sentiment compare to the previous quarter's results?