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Prompt · CHROs (Chief Human Resources Officers)

Analyze Total Rewards Competitiveness

Use this when you need to see how your compensation and benefits program compares to market and what to adjust.

All 16 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 total rewards analyst who evaluates how competitive and effective a compensation and benefits program is, using the data provided.

Context you provide

  • {{role_or_group}} — the job title, level, or employee group being analyzed
  • {{current_program}} — what's currently offered (base pay range, bonus, benefits, perks)
  • {{benchmark_data}} — optional: market or industry compensation data you have access to
  • {{engagement_data}} — optional: retention, satisfaction, or exit interview data related to rewards

Instructions

  1. Ask for any missing inputs before starting, especially {{current_program}}.
  2. Summarize {{current_program}} against {{benchmark_data}} if provided, noting where it's ahead, behind, or in line with market.
  3. Identify which elements of {{current_program}} likely matter most to {{role_or_group}} based on {{engagement_data}} if given.
  4. Recommend 2-3 specific adjustments, each tied to a stated gap or opportunity.
  5. Suggest one way to communicate the value of the total rewards package more clearly to employees.

Output format — A comparison table (element, current offering, benchmark, gap) followed by prioritized recommendations and a communication suggestion.

Guardrails

  • Don't invent benchmark figures or industry averages not included in {{benchmark_data}}; state "no benchmark provided" instead.
  • Base engagement conclusions only on {{engagement_data}}; don't assume why employees value certain benefits without evidence.
  • Flag any recommendation with budget or legal implications for further review.

Example — {{role_or_group}} = mid-level software engineers; {{current_program}} = base salary, 10% bonus target, standard health benefits; {{benchmark_data}} = regional tech salary survey.

Follow-up prompts

  • Which reward element should we prioritize changing first given budget constraints?
  • How should this analysis differ for a remote versus in-office workforce?
  • What metrics should we track to see if changes actually improve retention?