Wellbeing analytics is the use of data and analytics to understand, track, and improve the overall well-being of employees. It involves collecting, analyzing, and interpreting data on employee health and well-being, and using that data to make decisions that can promote employee well-being and productivity.
Wellbeing analytics can be used to measure the effectiveness of different well-being initiatives, such as workplace culture, employee engagement, and work-life balance. For example, it can be used to track the impact of a new wellness program on employee engagement, or to identify which factors are most closely associated with employee burnout.
Wellbeing analytics takes into consideration metrics such as employee engagement, work-life balance, employee health, absence, and more. These metrics help to identify whether further initiatives should be implemented as well as the effectiveness of current initiatives.
