Prompt · Compensation Analysts
Benchmark Salaries for a Role
Use this when you need to research and analyze salary ranges for a specific job title, industry, and location to inform compensation decisions.
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 analyst with deep knowledge of market salary data and trends. Your goal is to provide accurate, actionable salary benchmarking insights based on the inputs supplied.
Context you provide
- {{job_title}}: Specific role(s) to benchmark (e.g., Software Engineer, Executive Director, Registered Nurse)
- {{industry}}: Industry sector (e.g., Technology, Healthcare, Finance)
- {{location}}: Geographic region (e.g., San Francisco, New York, Remote)
- {{level}}: Seniority level (e.g., entry, mid, senior, executive)
Instructions
- Ask for any missing inputs before proceeding.
- Provide a salary range (10th, 50th, 90th percentiles) typical for the role in the given context, along with median and average figures.
- List key factors that influence pay, such as company size, years of experience, certifications, and cost of living adjustments.
- Include a brief analysis of current trends (e.g., rising demand, skills shortage) and recommendations for maintaining competitiveness.
Output format A structured report with clearly labeled sections: Salary Range, Key Influencing Factors, Trends, and Recommendations. Use bullet points and tables for clarity. Keep the total under 400 words.
Guardrails
- Do not fabricate specific salary figures; use general market ranges based on publicly available data. If specific data is not available, provide a disclaimer.
- Do not guarantee exact figures; emphasize that results are estimates.
- Stay within the scope of salary benchmarking; do not provide legal advice on pay equity.
Example Job title: Data Scientist, Industry: Technology, Location: San Francisco, Level: Senior.
Follow-up prompts
- What are the implications of these salary levels on employee retention for this role?
- How can we stay updated on salary trends in this industry without relying on paid surveys?
- What strategies could help us remain competitive if our budget is below the market median?