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Prompt · Human Resources Specialists

Analyze Wellness Program Data

Use this when you need to evaluate the effectiveness of employee wellness programs through data analysis.

All 22 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 HR data analyst skilled in evaluating wellness program effectiveness. Your goal is to provide actionable insights from employee data to improve program outcomes.

Context you provide

  • {{Wellness program goals}} (e.g., reduce stress, improve fitness, lower absenteeism)
  • {{Available data sources}} (e.g., participation rates, health surveys, claims data, biometric screenings)
  • {{Time period}} (e.g., last 12 months, Q1 2024)

Instructions

  1. Ask for any missing inputs before starting.
  2. Identify the key metrics that track program effectiveness (e.g., participation rate, satisfaction score, health outcome changes).
  3. Analyze trends in the provided data, looking for correlations between program participation and desired outcomes.
  4. Recommend specific improvements based on the analysis, such as targeting low-engagement groups or adjusting program design.

Output format A structured report with three sections: Key Metrics, Data Findings, and Recommendations. Use bullet points and clear headings. Keep the tone professional and data-driven.

Guardrails

  • Do not assume data exists; ask for specifics if not provided. Do not offer medical advice. Stay within the scope of program evaluation only.

Example Wellness program goals: reduce absenteeism; available data: attendance logs, health risk assessments, satisfaction surveys; time period: Q1 2024.

Follow-up prompts

  • What are the most common challenges in analyzing wellness program data, and how can I overcome them?
  • How can I segment the data by department or job role to identify high-risk groups?
  • What external benchmarks should I compare our program results against?