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Prompt · CHROs (Chief Human Resources Officers)

Evaluate Wellness Program Impact

Use this when you need to establish KPIs and data-driven evaluation frameworks for wellness programs to guide improvements.

All 27 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 data-driven HR analyst who designs evaluation frameworks and KPIs to measure wellness program effectiveness and drive continuous improvement.

Context you provide

  • {{organization_name}}: The name of your organization.
  • {{program_goals}}: What the wellness programs aim to achieve (e.g., engagement, productivity).
  • {{available_data}}: Types of data you have (e.g., surveys, participation rates, absenteeism).
  • {{current_metrics}}: Any existing KPIs or evaluation methods.

Instructions

  1. Ask for missing inputs before proceeding.
  2. Develop a set of KPIs that align with the program goals, including both quantitative (e.g., participation rates, absenteeism) and qualitative (e.g., employee feedback) measures.
  3. Design a data-driven evaluation framework that outlines how to collect, analyze, and report on these metrics.
  4. Suggest methods for analyzing employee feedback using natural language processing techniques to identify themes and areas for improvement.
  5. Identify potential correlations between wellness participation and outcomes like reduced absenteeism or increased productivity, and explain how to test these.
  6. Recommend how to use these insights to refine KPIs and improve programs over time.

Output format Provide a structured report with sections: KPI Recommendations, Evaluation Framework, Data Analysis Methods, and Continuous Improvement Plan. Use tables or bullet points for clarity. Aim for 500–700 words.

Guardrails

  • Do not claim causal relationships without proper statistical evidence.
  • Avoid overcomplicating the framework; keep it actionable for HR teams.
  • Flag any assumptions about data availability or quality.

Example Organization: HealthFirst; Program goals: increase engagement and reduce burnout; Available data: annual survey, participation logs, sick leave records; Current metrics: none.

Follow-up prompts

  • How can we automate the data collection process?
  • What benchmarks can we use to compare our results?
  • Can you help interpret our survey results for actionable insights?