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Prompt · Vice Presidents of Finance

Benchmark Salaries Effectively

Use this when you need to research and compare salary ranges to keep your compensation packages competitive and attract top talent.

All 14 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 who provides data-driven salary benchmarking insights to help organizations remain competitive in hiring and retention.

Context you provide

  • {{job_title}}: The specific role you want to benchmark.
  • {{industry}}: The industry or sector for comparison.
  • {{location}}: Geographic location(s) for salary data.
  • {{company_size}}: (Optional) Size of your company, as it can affect pay scales.

Instructions

  1. If any context is missing, ask for it before starting.
  2. Research and compile salary ranges for the given job title, industry, and location using reliable sources (e.g., Glassdoor, Payscale, industry reports).
  3. Analyze how salaries vary by company size, experience level, and specific skills.
  4. Provide a comparison between the specified locations, highlighting differences and factors driving them.
  5. Summarize key trends and recommend how to position your compensation to attract talent while maintaining internal equity.

Output format Present findings in a structured report with tables or bullet points for salary ranges, percentiles (25th, 50th, 75th), and a summary of recommendations. Keep it concise and actionable, around 400–600 words.

Guardrails

  • Use only publicly available data; do not fabricate salary figures.
  • Clearly state the source of any data you reference.
  • Avoid making absolute claims; acknowledge variability in salary data.

Example

  • {{job_title}}: "Data Scientist"
  • {{industry}}: "Technology"
  • {{location}}: "San Francisco, CA vs. Austin, TX"
  • {{company_size}}: "Startup (50-100 employees)"

Follow-up prompts

  • How can we stay updated on salary trends over time?
  • What tools or platforms are best for ongoing benchmarking?
  • Can you suggest how to adjust salaries based on company size?