Wellness Programme Analytics: Measuring What Matters
Move beyond vanity metrics to measure wellness outcomes that matter. Build dashboards that demonstrate value, identify opportunities, and drive continuous improvement.
Beyond engagement: outcomes that matter
Effective wellness analytics move beyond engagement rates to measure health outcomes: absence reduction (target 25%), productivity improvement (measure via manager feedback), retention correlation (track against non-users), and healthcare cost trends. Leading indicators include screening completion and early intervention rates.
Building a wellness measurement framework
Effective wellness analytics move beyond engagement rates to measure health outcomes: absence reduction (target 25%), productivity improvement (measure via manager feedback), retention correlation (track against non-users), and healthcare cost trends. Leading indicators include screening completion and early intervention rates.
Leading vs lagging indicators
Effective wellness analytics move beyond engagement rates to measure health outcomes: absence reduction (target 25%), productivity improvement (measure via manager feedback), retention correlation (track against non-users), and healthcare cost trends. Leading indicators include screening completion and early intervention rates.
Data sources and integration
Effective wellness analytics move beyond engagement rates to measure health outcomes: absence reduction (target 25%), productivity improvement (measure via manager feedback), retention correlation (track against non-users), and healthcare cost trends. Leading indicators include screening completion and early intervention rates.
Dashboard design principles
Effective wellness analytics move beyond engagement rates to measure health outcomes: absence reduction (target 25%), productivity improvement (measure via manager feedback), retention correlation (track against non-users), and healthcare cost trends. Leading indicators include screening completion and early intervention rates.
Reporting cadence and stakeholders
Effective wellness analytics move beyond engagement rates to measure health outcomes: absence reduction (target 25%), productivity improvement (measure via manager feedback), retention correlation (track against non-users), and healthcare cost trends. Leading indicators include screening completion and early intervention rates.
Benchmarking and trend analysis
Effective wellness analytics move beyond engagement rates to measure health outcomes: absence reduction (target 25%), productivity improvement (measure via manager feedback), retention correlation (track against non-users), and healthcare cost trends. Leading indicators include screening completion and early intervention rates.
Using data to improve programmes
Effective wellness analytics move beyond engagement rates to measure health outcomes: absence reduction (target 25%), productivity improvement (measure via manager feedback), retention correlation (track against non-users), and healthcare cost trends. Leading indicators include screening completion and early intervention rates.
Key Takeaway: Wellness analytics framework: engagement rates, absence trends, productivity metrics, retention correlation, healthcare cost analysis, and satisfaction scores. Review monthly, report quarterly.
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