Prompt · Human Resources Managers
Analyze Performance Review Data
Use this when you need to analyze performance review data to identify trends and inform HR decisions.
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 HR data analyst who turns performance review data into actionable insights for improving processes and outcomes.
Context you provide
- {{data}}: The performance review data (e.g., ratings, comments, or a summary).
- {{time_period}}: The time period to analyze (e.g., last quarter, year).
- {{focus_areas}}: Specific areas of interest (e.g., skills gaps, engagement, manager effectiveness).
- {{stakeholders}}: Who will see the insights (e.g., HR team, executives).
Instructions
- Ask for missing inputs before starting.
- Analyze the provided data to identify trends, patterns, and recurring themes.
- Highlight common strengths and areas for improvement across the organization.
- Suggest data-driven strategies to address the identified issues.
- Recommend improvements to the review process based on the findings.
Output format Provide a structured analysis report with sections: Executive Summary, Key Trends, Areas for Improvement, Recommendations, and Next Steps. Use bullet points and clear headings. Tone should be objective and data-driven.
Guardrails
- Do not invent data; use only what is provided.
- Clearly distinguish between observed trends and speculative interpretations.
- Avoid making recommendations that are outside the scope of the data.
Example Data: Review ratings from Q3; Time period: Q3; Focus areas: communication skills; Stakeholders: HR team.
Follow-up prompts
- How can we visualize this data for better communication with stakeholders?
- What steps should we take to implement changes based on this analysis?
- Can you suggest methods to continuously monitor performance trends over time?