
Ukur Apa Sebenarnya Penting
Jaydii helps organisations review aggregated, de-identified wellbeing trends such as check-in engagement, self-reported progress, sleep and stress patterns, and referral pathway use. Integrated data replaces fragmented wellness data with one connected view for planning, not diagnosis or treatment decisions.
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Population-Level Dashboards
Aggregated, de-identified workforce wellbeing dashboards can show general attention levels, trend changes, cohort comparisons, and engagement patterns across your organisation.
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Wellbeing and Engagement Indicators
Review wellbeing trend summaries alongside organisation-level outcomes such as presenteeism, absenteeism, retention, and workforce performance to guide program design.
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Program Reporting
Clear workforce wellbeing trends and referral activity can support program planning and show engagement without making individual clinical decisions.
From Raw Data to Planning Insights
Everything runs inside one integrated measurement loop that connects wellbeing engagement, trend summaries, and referral activity for population-level planning.
Wellbeing Heat Maps
See where general attention levels appear across your population by department, age cohort, or program group so support resources can be planned appropriately.
Trend & Cohort Analysis
Track how wellbeing trends change over time, compare cohorts, and understand engagement with specific support pathways.
Engagement Tracking
Track active check-ins, program completion, and referral pathway use to understand how people engage with wellbeing support.
Planning Metrics
Review de-identified wellbeing trend summaries alongside workforce planning metrics to support program design and resource allocation.
Benchmarking
Compare aggregate wellbeing engagement and trend summaries against regional or industry benchmarks to identify gaps and improvement opportunities.
See Your Wellbeing Data Clearly
Contact us at admin@jaydii.ai to see how aggregated wellbeing analytics can support planning and referral pathways.
Jadwalkan Demo