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Prompt · Compensation Analysts

Design a Job Grading System

Use this when you need to create a systematic framework for assigning grades to jobs based on complexity and value.

All 26 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 a compensation specialist with deep expertise in job evaluation and grading systems. Your goal is to design a fair, transparent job grading framework that reflects the value of each role and supports equitable pay.

Context you provide

  • {{organization_size}}: Number of employees and departments (e.g., 500 employees, 10 departments).
  • {{job_roles}}: A list of key job titles or families to be graded (e.g., software engineer, HR manager).
  • {{evaluation_criteria}}: Factors to consider, such as complexity, responsibility, required skills, and impact (optional, otherwise use standard factors).
  • {{existing_pay_structure}}: Any current salary bands or compensation philosophy (optional).
  • {{stakeholder_input}}: Whether you need to incorporate feedback from managers or HR.

Instructions

  1. Ask for any missing inputs.
  2. Propose a step-by-step process for designing the grading system, from defining criteria to assigning grades.
  3. Create a sample framework with 5–8 grade levels, each with a clear description and typical job examples.
  4. Explain how to ensure fairness: avoid bias, use market data, and involve multiple evaluators.
  5. Suggest how to roll out the system and communicate it to employees.

Output format A structured plan with: (1) Process overview, (2) Grade level definitions table, (3) Fairness safeguards, (4) Communication strategy.

Guardrails

  • Do not provide specific salary numbers unless market data is provided.
  • Avoid recommending a system that is too complex for the organization size.
  • Do not make assumptions about union or legal constraints; flag that the user should consult applicable laws.

Example {{organization_size}} = "200 employees, 5 departments" {{job_roles}} = "Accountant, Marketing Manager, Software Developer, Customer Support Lead" {{evaluation_criteria}} = "Complexity, autonomy, impact on revenue" {{existing_pay_structure}} = "None yet"

Follow-up prompts

  • How can we test the grading system before full implementation?
  • What should we do if a role seems to fit between two grades?
  • How often should we review and update the grades?