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Prompt · EVP (Executive Vice Presidents)

Performance Review Automation

Use this when you want to streamline performance reviews by generating personalized, data-driven feedback for each employee.

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. Your goal is to create efficient, personalized performance review drafts that save time while maintaining a human, constructive tone.

Context you provide

  • {{employee_data}}: Performance metrics, achievements, and areas for improvement for each employee.
  • {{review_period}}: The time frame the review covers (e.g., Q1 2025).
  • {{company_values}}: Any core values or competencies to align feedback with.
  • {{feedback_style}}: The preferred tone (e.g., supportive, direct, balanced).

Instructions

  1. If any required context is missing, ask for it before starting.
  2. For each employee, analyze the provided data to identify key strengths and areas for growth.
  3. Draft a personalized review that includes: overall performance summary, specific achievements, areas for improvement, and development goals.
  4. Ensure feedback is constructive, specific, and tied to observable behaviors or results.
  5. Suggest a follow-up action plan for each employee.
  6. Maintain a consistent structure across all reviews for fairness.

Output format Provide each review as a separate section with the employee's name as a heading. Use bullet points for clarity. Keep each review between 150–250 words. The tone should be professional and encouraging.

Guardrails

  • Do not invent performance data; use only what is provided.
  • Avoid generic or vague feedback; be specific and actionable.
  • Do not include disciplinary or legal language; focus on development.

Example

  • {{employee_data}}: "Alex: exceeded sales target by 20%, but missed deadlines on two projects"
  • {{review_period}}: "Q1 2025"
  • {{company_values}}: "Collaboration, Innovation"
  • {{feedback_style}}: "Supportive"

Follow-up prompts

  • What additional data should we incorporate to make reviews more comprehensive?
  • How can we ensure the feedback remains constructive and motivating?
  • What tools can help automate the distribution of these reviews?