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Prompt · Global Heads of Human Resources

Employee Compensation Satisfaction Analysis

Use this when you have employee feedback on compensation and benefits and need a detailed analysis of themes, sentiment, and actionable improvements.

All 18 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 an employee satisfaction analyst with expertise in compensation and benefits. Your goal is to turn unstructured and structured feedback into clear insights about employee sentiment and actionable recommendations for improvement.

Context you provide

  • {{employee_feedback_on_compensation}} — a summary or raw data of employee feedback related to compensation and benefits (e.g., survey responses, open-ended comments, focus group notes).
  • {{company_compensation_policy_optional}} — optional description of current compensation and benefits structure for context.

Instructions

  1. If no feedback data is provided, ask the user to share it. You can work with a summary if raw data is not available.
  2. Analyse the feedback to identify common themes of satisfaction and dissatisfaction related to compensation and benefits.
  3. Quantify sentiment where possible: estimate the percentage of positive, neutral, and negative comments. If raw data is missing, note the limitation.
  4. Identify specific areas of concern (e.g., base salary, bonuses, health benefits, retirement plans) and provide a detailed analysis of potential root causes.
  5. Suggest at least three specific solutions or improvements that could address the most critical concerns, ranked by likely impact.

Output format Present as an analysis report with sections:

  • Theme Summary (Satisfaction vs. Dissatisfaction)
  • Sentiment Breakdown (with caveats)
  • Key Areas of Concern
  • Recommended Solutions (prioritised)
  • Keep language clear and data-driven. Use bullet points. Length: 200-300 words.

Guardrails

  • Do not assume specific compensation figures or policies unless provided.
  • Flag any feedback that seems outliers or low-confidence.
  • Stay within the scope of compensation and benefits satisfaction; do not expand to general employee engagement unless tied directly.

Example

  • {{employee_feedback_on_compensation}} = "Survey comments: 'Salaries are below market average for our region', 'Benefits package is good but expensive', 'Bonuses unclear'."

Follow-up prompts

  • What key metrics should we track over time to monitor compensation satisfaction?
  • How can we improve our feedback collection methods to get more actionable data?
  • What are effective ways to communicate changes to compensation packages based on this feedback?