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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.

All 25 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 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

  1. Ask for missing inputs before starting.
  2. Analyze the provided data to identify trends, patterns, and recurring themes.
  3. Highlight common strengths and areas for improvement across the organization.
  4. Suggest data-driven strategies to address the identified issues.
  5. 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?