Using Predictive Analytics to Improve Employee Retention

Most retention strategies are reactive. An employee gives two weeks' notice, leadership scrambles with a counteroffer, and everyone acts surprised. But the signs were there months ago. Predictive analytics identifies those signs early enough to act.

The data points that predict turnover aren't mysterious. They include role fit (measured through assessment data), manager relationship quality, compensation relative to market, career trajectory stagnation, workload patterns, and engagement trajectory. When you combine these factors in a structured model, patterns emerge that are invisible to the naked eye.

VantagePoint's predictive talent analytics help you identify which employees are at highest risk of leaving, what's driving the risk, and what interventions are most likely to work. Sometimes the answer is compensation. Sometimes it's a role change. Sometimes it's developing a manager who's creating an environment people want to leave.

Retention is cheaper than replacement. The cost of losing an experienced employee typically runs 1.5 to 3 times their annual salary when you factor in recruiting, onboarding, lost productivity, and institutional knowledge. Investing in predictive analytics and employee assessment to keep your best people is one of the highest-ROI decisions an organization can make. Call 402.391.2128 to start identifying your retention risks.