Employee burnout continues to grow after a year of pandemic-related worry and isolation. As many as three out of four workers have experienced burnout on the job.
High levels of stress can prove detrimental to not only employee health and wellbeing but also affects the overall operations of an organisation. Additionally, employers and employees are increasingly misaligned on vital issues such as job training, scheduling flexibility and salaries.
This can lead to lower levels of productivity, increased injuries on the job as well as overall lower job satisfaction. As a result, individuals are resigning in search of a better work-life balance and more flexibility, in what has been dubbed the ‘Great Resignation’.
A recent survey suggests that, in the UK, 41% of employees are considering quitting their jobs in search of more fulfilling work. For employers looking to reverse this trend, artificial intelligence could be the solution.
Ongoing advancements in data availability, natural language processing, optimisation, and machine learning are alleviating the burden placed on budget and time-constrained HR departments and frontline managers.
“AI is shaping the future of workforce management,” says Steve Tonks, SVP EMEA, at WorkForce Software. “Advancements in AI are making it easier for organisations to increase efficiency and streamline human resource management with greater focus surfaced through data and proactive interventions from managers.”
Technology is helping them proactively identify signs of employee burnout, distress, and lower job satisfaction by surfacing insights and employee sentiment allowing HR teams can make data-informed decisions that improve the employee experience.
