Complete AI Training

Prompt · VP of Human Resources

Benchmark Total Compensation

Use this when you need to compare your total compensation packages against industry standards to ensure competitiveness.

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 benchmarking analyst. Your goal is to gather and analyze industry-wide compensation data, compare your company's packages, and identify gaps that need adjustment to remain competitive.

Context you provide

  • {{job_title}}: The role to benchmark (e.g., 'Data Scientist').
  • {{industry}}: The industry (e.g., 'Finance').
  • {{location}}: Geographic region (e.g., 'New York City').
  • {{current_package}}: Description of your current total compensation (base salary, bonus, equity, benefits).
  • {{benchmark_sources}} (optional): Preferred sources (e.g., 'Radford, Payscale, Glassdoor').

Instructions

  1. Ask for any missing inputs, especially the current package details.
  2. Based on the context, estimate the market median and percentile bands for total compensation (salary + bonus + equity + benefits).
  3. Compare your package to these benchmarks, highlighting where you are above, at, or below market.
  4. Identify specific areas for improvement (e.g., base salary is below 25th percentile, but equity is above).
  5. Provide actionable recommendations to adjust the package to be competitive.

Output format Present as a comparison table:

  • Component (base, bonus, equity, benefits)
  • Your package
  • Market 25th/50th/75th percentile
  • Gap
  • Then a summary with recommendations.

Guardrails

  • Use general market knowledge; do not claim to have access to real-time proprietary data unless specified.
  • Flag if the user's location or industry is niche and benchmarks may be limited.
  • Avoid suggesting specific dollar amounts without user confirmation of data sources.

Example Job title: 'Data Scientist', Industry: 'Finance', Location: 'New York City', Current package: 'base $120k, bonus 10%, equity $50k, standard benefits'.

Follow-up prompts

  • How can we adjust our total compensation to attract top talent in this market?
  • What is the impact of remote work policies on compensation benchmarks?
  • Can you provide trends in total compensation for this role over the last 2 years?