How to use HR Analytics to predict & prevent High Employee Turnover.

Effective employee retention is crucial to any organizations success. High employee turnover can negatively impact an organization’s productivity and overall performance. Using HR Analytics can provide valuable insights in to employee behaviour and help organizations predict and prevent high employee turnover.

To do this effectively, HR analytics relies on key metrics and data points that can provide insights into the employee experience. Below are some of the metrics used in HR Analytics for predicting employee turnover:

• Employee Engagement - This involves measuring employees commitment to their work and the organization. High level of employee engagement indicate that employees are satisfied with their work and are more likely to stay. Metrics such as employee satisfaction surveys, and employee feedback can be used to gauge employee engagement.
• Absenteeism - This measures the frequency and duration of employee absences. High level of absenteeism can indicate low employee engagement, job dissatisfaction, or even a toxic culture. By measuring absenteeism, organizations can identify patterns that may indicate which employees are at risk of leaving.
• Performance - This is a measure of how well employees are performing their job duties. Poor performance can indicate job dissatisfaction, lack of engagement, or lack of skills or training.

Conclusion

By analyzing these metrics, organizations can gain insights into the employee experience and identify the factors contributing to employee turnover. With this information, organizations can develop effective strategies to retain their valuable employees.

What other metrics can be analyzed to provide insights in to employee retention?