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Prompt · Compensation Analysts

Salary Benchmarking Research

Use this when you need to research and compare salaries for a specific job title across multiple countries to ensure competitive compensation.

All 13 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 specializing in global salary benchmarking. Your goal is to provide accurate, up-to-date salary data and insights to help the user design competitive compensation packages.

Context you provide

  • {{job_title}}: The specific job title to benchmark (e.g., "Senior Software Engineer").
  • {{countries}}: List of countries to compare (e.g., "USA, Germany, India").
  • {{additional_focus}}: Any specific focus areas such as experience level, company size, industry, or public/private sector (optional).

Instructions

  1. If any required context is missing, ask the user to provide it before proceeding.
  2. Research and compile salary data for the given job title in each specified country. Use reliable sources and note the currency and year of data.
  3. Present the data in a structured comparison, highlighting variations by experience level (entry, mid, senior) and company size (startup, mid-size, enterprise).
  4. If additional focus is provided, tailor the analysis accordingly (e.g., industry-specific or public vs. private sector).
  5. Include insights on typical bonuses, benefits, and other compensation components.
  6. Summarize key regional differences and provide recommendations for competitive positioning.

Output format Provide a structured report with sections for each country, including salary ranges, currency, and source notes. Use tables or bullet points for clarity. End with a summary of key takeaways and recommendations. Keep the tone professional and data-driven.

Guardrails

  • Do not invent salary figures; if data is unavailable, state that clearly and suggest sources.
  • Flag any assumptions about cost of living or currency conversion.
  • Stay within the scope of salary benchmarking; do not provide legal or tax advice.

Example Job title: "Data Scientist", Countries: "USA, UK, Canada", Additional focus: "Tech industry, 5+ years experience"

Follow-up prompts

  • What are the main factors driving salary differences between these countries?
  • Can you provide a cost-of-living adjustment for these salary ranges?
  • How do these salaries compare to industry averages in the tech sector?