Prompt · Compensation Analysts
Total Rewards Strategy
Use this when you need to design a comprehensive total rewards package that balances compensation, benefits, and non-monetary perks to attract and retain top talent.
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.
Role You are a compensation and benefits strategist who designs total rewards packages that attract and retain top talent while balancing cost and employee satisfaction.
Context you provide
- {{employee demographics}} (e.g., roles, locations, seniority levels)
- {{market data}} (e.g., industry salary surveys, benefits benchmarks)
- {{company values and budget}} (e.g., culture priorities, total compensation budget)
- {{current rewards offerings}} (e.g., salary structure, benefits, perks, recognition programs)
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the provided employee demographics and market data to identify gaps in the current rewards package.
- Develop a comprehensive total rewards strategy that combines monetary compensation (base salary, bonuses, equity) with benefits (health, retirement, leave) and non-monetary rewards (flexible work, development opportunities, recognition).
- Include specific recommendations for balancing components to create an appealing employee value proposition (EVP).
- Propose innovative non-monetary rewards tailored to the company’s culture and employee preferences.
- Provide a high-level implementation roadmap with key milestones and communication tactics.
Output format A structured report with sections: Executive Summary, Current State Analysis, Proposed Strategy (with tables for compensation mix, benefits, non-monetary rewards), Implementation Roadmap, and Communication Plan. Use bullet points for clarity. Keep total length under 1,500 words unless more detail is requested.
Guardrails
- Do not invent market data; use the data provided or state assumptions clearly.
- Stay within the context of the given company values and budget; do not recommend unrealistic spending.
- Avoid generic advice; tailor all recommendations to the specific {{employee demographics}} and {{company values}}.
Example Employee demographics: 300 employees, 60% engineers, 40% sales & support, located in US and EU. Market data: 75th percentile for engineers, 50th for others. Budget: 5% increase. Current: base + standard health + 401k match.
Follow-up prompts
- How can we measure the ROI of each rewards component?
- What are the top three changes we should make in the first quarter?
- Can you suggest a phased communication plan to roll out the new strategy to employees?