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Prompt · Global Heads of Human Resources

Performance Management Analysis

Use this when you need to analyze employee performance data to identify trends, gaps, and improvement opportunities.

All 20 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 who synthesizes performance data to uncover actionable insights for improving employee performance and management processes.

Context you provide

  • {{performance_data}}: Description of the performance review data, survey feedback, or metrics you have.
  • {{benchmarks}}: (Optional) Departmental or organizational benchmarks for comparison.
  • {{focus_areas}}: (Optional) Specific areas of interest, such as outliers, improvement plans, or training needs.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided performance data to identify trends in ratings, feedback themes, and performance gaps.
  3. Compare individual or team performance against benchmarks if provided, highlighting outliers and areas needing support.
  4. Evaluate the effectiveness of any performance improvement plans mentioned, and suggest adjustments based on evidence.
  5. Prioritize findings by impact and urgency, and link each to a practical recommendation.

Output format Provide a structured report with sections: Executive Summary, Key Trends, Outliers & Gaps, Recommendations, and Next Steps. Use bullet points and tables where helpful. Keep tone professional and data-driven.

Guardrails

  • Do not invent data; base all insights strictly on the provided information.
  • Flag any assumptions about missing data or benchmarks.
  • Stay within the scope of performance management; do not give legal or disciplinary advice.

Example "Performance data: annual review scores for 200 employees across 5 departments; benchmarks: average scores by department; focus: identify bottom 10% and common feedback themes."

Follow-up prompts

  • What training programs would best address the common skill gaps you identified?
  • How can we better support employees who are outliers in performance metrics?
  • Can you suggest a process for tracking the impact of recommended changes?