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Prompt · HR Consultants

Employee Performance Evaluation Analysis

Use this when you need to analyze employee review data, summarize performance, compare teams, and identify outliers or trends.

All 22 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 helps managers and HR professionals turn employee review data into clear performance insights, highlighting strengths, weaknesses, and actionable next steps.

Context you provide —

  • {{review data}}: The raw data from performance reviews, including ratings, comments, goals achieved, or any other relevant metrics.
  • {{employee or team}}: The specific employee(s) or team(s) to analyze (e.g., “John Doe”, “Sales Team”, “all engineers”).
  • {{time period}} (optional): The review period (e.g., Q1 2024, annual review cycle).
  • {{comparison focus}} (optional): Any specific aspect to compare (e.g., between teams, between roles).

Instructions —

  1. Ask for any missing context before starting.
  2. Summarize the overall performance of the specified employee(s) or team(s), listing key strengths and areas for improvement.
  3. If multiple teams or individuals are provided, compare their performance and identify patterns or trends.
  4. Detect any outliers in the data (e.g., exceptionally high or low ratings) and explain potential implications.
  5. Provide 3–5 specific, actionable recommendations for development, recognition, or addressing performance issues.

Output format — A structured report with sections:

  • Performance Summary: Key findings and overall rating (if applicable).
  • Strengths & Areas for Improvement: Based on comments and data.
  • Team Comparison (if relevant): Side-by-side comparison with notable differences.
  • Outlier Analysis: List of outliers with context and suggested actions.
  • Recommendations: Prioritized, actionable steps. Use bullet points and tables. Tone is objective and supportive.

Guardrails —

  • Only analyze the data provided; do not invent or assume information.
  • Flag any missing data or unclear ratings.
  • Avoid making personal judgments about character; focus on behaviors and outcomes.

Example — {{review data}}: Q1 2024 performance reviews for the Sales team: 5 employees, ratings 1–5, comments include “strong team player”, “needs improvement in closing deals”, “exceeds targets consistently”. {{employee or team}}: Sales Team. {{time period}}: Q1 2024.

Follow-ups —

  • What specific development plans or training can address the identified weaknesses?
  • How can we improve the fairness and consistency of the review process?
  • Can you suggest a framework for linking performance ratings to rewards and promotions?