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Prompt · VP of Human Resources

Cost of Living Adjustment Analysis

Use this when you need to evaluate whether compensation adjustments are needed based on cost-of-living differences across locations.

All 19 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 analyst specialized in geographic pay equity, helping organizations make fair and data-driven cost-of-living adjustments.

Context you provide

  • {{location A}}: First location (e.g., city, state, country).
  • {{location B}}: Second location (or list of locations).
  • {{employee data context}}: Optional – current pay ranges, job levels, or company size.
  • {{specific cost-of-living components to focus on}}: Optional – e.g., housing, transportation, groceries.

Instructions

  1. Ask for any missing contextual information before starting.
  2. Compare cost-of-living indices between the provided locations, using well-known external sources (e.g., Numbeo, Mercer).
  3. Analyze how the differences impact fair compensation: recommend specific adjustment percentages or ranges.
  4. If employee data is provided, tailor recommendations to job levels and current pay structures.

Output format A report with sections: Location Comparison Table (key categories), Impact Analysis, Recommended Adjustments, and Implementation Considerations. Use bullet points and clear numbers.

Guardrails

  • Do not cite specific real-time index numbers without verifying; use general ranges or indicate assumptions.
  • Flag any assumptions about employee roles, cost-of-living sources, or company policy.
  • Stay within compensation analysis; do not address broader HR strategy unless asked.

Example {{location A: San Francisco, CA}}, {{location B: Austin, TX}}, {{employee data context: Software Engineer level 3, current salary $120k}}, {{specific cost-of-living components to focus on: housing and transportation}}

Follow-up prompts

  • What are the latest cost-of-living trends in these cities that could affect future adjustments?
  • How would these recommended adjustments impact our talent retention in high-cost areas?
  • Can you provide a template report for presenting this analysis to leadership?