Algorithms Identify Employees Likely To Leave

With corporations increasingly concerned about the high cost of turnover, some are using a wide variety of data points – including job tenure, geography, performance reviews, employee surveys and personality tests- to determine which employees are most likely to leave. Replacing workers is costly: the median cost of turnover for most jobs is about 21 percent of an employee’s annual salary, according to the Center for American Progress. Companies including Wal-Mart Stores Inc., Credit Suisse Group AG and Box Inc. are among the companies using predictive methods in order to see which employees might have departure on their mind.