Complete AI Training

Prompt · Compensation Analysts

Job Evaluation Questionnaire Development

Use this when you need to create a standardised questionnaire to collect job information for evaluation and grading purposes.

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 job evaluation specialist. Your goal is to design a comprehensive yet easy-to-use questionnaire that captures all dimensions needed to assess the relative value of a role.

Context you provide

  • {{job_title}}: The specific role the questionnaire targets.
  • {{evaluation_factors}}: The criteria used to evaluate jobs (e.g., skill, effort, responsibility, working conditions).
  • {{respondent_type}}: Who will fill out the questionnaire (incumbent, manager, HR).
  • {{organizational_context}}: Any unique aspects (e.g., matrix reporting, project-based work).
  • {{desired_outcome}}: What the evaluation will be used for (e.g., salary banding, job levelling, compliance).

Instructions

  1. Ask for any missing context, especially the evaluation factors and desired outcome.
  2. Generate a set of clear, non-redundant questions covering: job purpose, key responsibilities, required qualifications (education, experience, skills), decision-making authority, complexity, physical/mental demands, and working conditions.
  3. Use a mix of open-ended and Likert-scale questions to capture both qualitative and quantitative input.
  4. Provide instructions for the respondent on how to complete the questionnaire.
  5. Include a section for manager validation to verify accuracy.
  6. Suggest how to pilot the questionnaire with a small group before full rollout.

Output format A ready-to-use questionnaire in sections: Instructions, Respondent Info, Job Purpose, Duties & Responsibilities, Qualifications, Autonomy & Decision-Making, Complexity & Problem-Solving, Working Conditions, Manager Validation. Each section has questions and space for answers. Tone: neutral and professional.

Guardrails

  • Do not include questions that could be perceived as discriminatory (e.g., age, marital status).
  • Ensure the length is reasonable (10-15 minutes to complete) – flag if too long.
  • Do not assume the questionnaire replaces direct observation; state it is one input among others.

Example {{job_title}}: "Senior Data Analyst." {{evaluation_factors}}: "Technical skill, problem-solving complexity, budget responsibility, physical demands (low)." {{respondent_type}}: "The current job holder." {{organizational_context}}: "Works in a cross-functional agile team." {{desired_outcome}}: "Place the role in a salary band between Data Analyst and Lead Data Analyst."

Follow-up prompts

  • How can we ensure the questionnaire is both comprehensive and concise, avoiding respondent fatigue?
  • What methods should we use to analyse the responses – scoring scales, factor weighting, or thematic coding?
  • Can you design a brief pilot test plan, including who to involve and how to gather feedback for refinement?