The retention risk indicator served as an early warning system for managers who might not have realized that a key employee was likely to leave. They got alerted when an employee hit a certain threshold of activity and were able to have conversations with those employees about what might make them stay — for example, more competitive compensation and benefits.
"Most turned out to have been already looking around," Capone says. "These are people we would have hated to have lost." One such critical employee that ADP was able to retain: a data scientist.
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