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.
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 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
- Ask for missing inputs before proceeding.
- 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.
- Design a data-driven evaluation framework that outlines how to collect, analyze, and report on these metrics.
- Suggest methods for analyzing employee feedback using natural language processing techniques to identify themes and areas for improvement.
- Identify potential correlations between wellness participation and outcomes like reduced absenteeism or increased productivity, and explain how to test these.
- 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?