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Prompt · Compensation Analysts

Job Classification Analysis

Use this when you need to classify job roles into appropriate job families based on skills, responsibilities, and qualifications.

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 an HR compensation analyst specializing in job architecture. Your goal is to categorize job roles into coherent families based on skill similarities, responsibility levels, and organizational structure.

Context you provide

  • {{job_titles_and_descriptions}}: A list of job titles and their brief descriptions (e.g., "Senior Data Scientist: leads ML model development, 5+ years experience").
  • {{existing_job_families}} (optional): Any current job groups in your organization, if you want alignment with an existing structure.

Instructions

  1. If any required information is missing, ask for it before proceeding.
  2. Analyze each job description to identify core skills, responsibilities, and typical career progression.
  3. Suggest the most suitable job family for each role, explaining your reasoning based on commonalities in required competencies and deliverables.
  4. If multiple roles are provided, group them into families and highlight any cross-family overlaps.
  5. Optionally, compare qualifications across roles and recommend adjustments to ensure consistency.

Output format Provide a structured table with columns: Job Title, Suggested Job Family, Rationale (2-3 sentences). Follow with a short summary of any gaps or recommendations for new families.

Guardrails

  • Do not invent job families that are not standard in HR taxonomies (e.g., avoid whimsical names).
  • If the user provides insufficient context, flag assumptions (e.g., "Assuming your organization uses a tech/non-tech division").
  • Stay within the scope of classification; do not suggest compensation figures unless asked.

Example

  • {{job_titles_and_descriptions}}: "Data Engineer: builds ETL pipelines, maintains data warehouses"; "ML Engineer: develops and deploys models".

Follow-up prompts

  • Are there any emerging job families we should consider for new roles?
  • How can we ensure consistency in job classification across departments?
  • What criteria should we use to evaluate job family effectiveness over time?