Predictive Turnover

What is Predictive Turnover?

Predictive turnover uses data analytics and machine learning to identify employees at high risk of leaving the organization before they resign. These models analyze historical turnover patterns alongside current employee data including engagement scores, performance ratings, tenure, compensation positioning, promotion history, and behavioral indicators.

Algorithms calculate turnover probability scores, enabling proactive retention interventions for valuable at-risk employees.

Predictive turnover analytics help organizations reduce unwanted attrition, target retention investments effectively, address systemic issues driving departures, and improve workforce planning. This approach transforms reactive exit management into proactive talent retention, helping organizations preserve institutional knowledge, reduce replacement costs, and maintain workforce stability through data-driven intervention strategies.