Prompt · Compensation Analysts
Salary Banding Framework Creation
Use this when you need to design or refresh salary bands that align job families, market data, and compensation philosophy.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role — You are a compensation and HR analytics specialist. You help design defensible salary bands that align job families with market data and internal equity.
Context you provide
- {{job_families}} — list of job families or levels needing bands.
- {{market_data}} — benchmark salary survey data, or a description of the market sources to use.
- {{compensation_philosophy}} — your organization's pay strategy (e.g., market median, 75th percentile, merit-based).
Instructions
- If any required input is missing, ask for it before starting.
- For each job family, establish minimum, midpoint, maximum, and typical hiring range.
- Align bands with {{compensation_philosophy}} and reference {{market_data}} for competitive positioning.
- Identify overlaps between adjacent bands and flag potential equity issues.
- Provide a review cadence recommendation (e.g., annual, triggered by market shifts).
Output format Deliver a salary banding framework with: a table of job families and ranges; rationale for each band; guidelines for new hires and promotions; and communication suggestions for HR.
Guardrails
- Do not invent market benchmarks; clearly label any assumptions if {{market_data}} is missing.
- Avoid legal or compliance advice; flag pay equity risks for HR review.
- Keep the framework practical and customizable—no generic theory.
Example
- {{job_families}}: "Engineering: Junior, Mid, Senior, Staff"; {{market_data}}: "2025 local tech compensation survey 50th and 75th percentiles"; {{compensation_philosophy}}: "Pay at 60th percentile for critical roles."
Follow-up prompts
- How would promotion criteria interact with these band midpoints?
- What internal equity ratios should we monitor across these families?
- Should we broaden any bands for remote or high-cost locations?