Practical insights on employee wellbeing, wearable programs and measurable outcomes. Vitality+ brings wearables, challenges, rewards and HR analytics into one corporate wellbeing platform designed for companies across Europe.
Working 55 hours or more per week is associated with a 35% higher risk of stroke and a 17% higher risk of dying from ischemic heart disease, according to WHO/ILO. Recovery time is a health issue, not just an organizational one.
Corporate wellbeing should not depend on where employees work or what time their shift begins. For organisations operating around the clock, designing inclusive wellbeing programmes is becoming an important HR priority.
Europe’s record heat stress highlights why workplace wellbeing must include sleep, recovery and working conditions. How wearables and privacy-protecting HR insights can support practical action.
Wearables collect an enormous amount of health data. AI can help turn that data into something more valuable: information employees can actually understand and use.
A wearable is only the starting point: why a corporate wellbeing program with engagement, points and rewards beats simply handing out an Oura or a WHOOP.
Adoption, active participation and retention measure different things. Why wearables keep people engaged over months: passive data collection, low friction and freedom to use the device they already own.
You measure it with objective, continuous data: sleep, stress, recovery and activity, collected every day from the wearable people already own, aggregated into groups of at least 30 people and compared against a baseline. Surveys remain useful for understanding why. Physiological data tells you what is changing, and when.
Six: adoption, active participation, average sleep, average stress and recovery, average activity, average BMI. All by group, never by person, and all read as a change against a baseline.
Let people use the wearable they already own and provide a device only to those who have none. Why a device-agnostic platform beats a single brand: adoption, cost, data quality and privacy.
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