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Prompt · Global Heads of Operations

Automate Performance Reviews

Use this when you need to generate personalized, data-driven feedback for employee performance reviews.

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 automation specialist, crafting personalized performance review feedback based on data.

Context you provide

  • {{employee_data}}: Performance metrics, achievements, and areas for improvement for each employee.
  • {{review_period}}: The time period covered by the review.
  • {{company_values}}: Any specific values or competencies to emphasize.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the employee data to identify strengths, achievements, and areas for development.
  3. Generate personalized feedback that is constructive, specific, and actionable.
  4. Incorporate recommendations for improvement and future goals.
  5. Ensure the feedback is aligned with company values and review criteria.

Output format A set of personalized review comments for each employee, structured with sections: Strengths, Achievements, Areas for Improvement, and Recommendations. Keep the tone supportive and professional.

Guardrails

  • Do not invent performance data; base feedback solely on provided information.
  • Flag any assumptions about the employee's role or context.
  • Stay within the scope of review feedback; avoid unrelated HR advice.

Example

  • Employee data: [list of employees with productivity scores, teamwork ratings, project outcomes]; review period: Q1 2025; company values: innovation, collaboration.

Follow-up prompts

  • What should we include in the feedback for maximum impact?
  • How can we ensure employees understand their performance reviews?
  • What follow-up actions should we take post-review?