Reducing Employee Turnover with Predictive Analytics

Turnover is one of the most expensive challenges for companies. Beyond recruitment costs, losing talent disrupts projects, culture, and momentum.

Predictive analytics is helping HR get ahead of this issue. Sprint can analyze patterns like absenteeism, engagement survey results, and workload to identify employees who may be at risk of leaving.

Armed with this data, HR can intervene early—whether it’s through conversations, new opportunities, or support initiatives. Instead of reacting after resignations, HR acts proactively.

Companies using predictive tools are already seeing improvements in retention rates and employee satisfaction.