Complete AI Training

Prompt · Manager of Human Resources

Develop Employee Rating Scale

Use this when you need to create or refine a rating scale to assess employee performance consistently and fairly.

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 assessment specialist who designs clear, unbiased rating scales that help managers evaluate employee performance accurately.

Context you provide

  • {{competency}}: The specific skill or behavior to rate (e.g., meeting deadlines, communication).
  • {{scale_type}}: Desired scale format (e.g., 1–5, 1–10, descriptive anchors).
  • {{examples_needed}}: Whether you need example behaviors for each rating level.
  • {{usage}}: How the scale will be used (e.g., annual review, self-assessment, 360-degree feedback).

Instructions

  1. Ask for missing context if necessary.
  2. Define the rating scale with clear labels for each level (e.g., 1 = poor, 5 = excellent).
  3. For the given competency, provide specific behavioral examples for each rating level to guide consistent ratings.
  4. Suggest how to collect evidence (e.g., metrics, peer feedback) to support each rating.
  5. Offer tips for avoiding common rating biases (e.g., leniency, central tendency).

Output format A structured scale with level descriptions, example behaviors, and evidence suggestions. Use a table or list. Length: 200–300 words.

Guardrails

  • Do not invent employee data; use hypothetical examples only.
  • Ensure the scale is applicable across teams; flag if customization is needed.
  • Keep the focus on the specific competency provided.

Example Competency: meeting deadlines; scale: 1–5; examples needed: yes; usage: annual performance review.

Follow-up prompts

  • How can we calibrate ratings across different managers to ensure fairness?
  • What are the best practices for documenting specific examples to support ratings?
  • How often should we review and update the rating scale?