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Google uses algorithm to identify workers likely to leave

Internet giant Google is working on a database that will determine which of its 20,000 employees are the most likely to leave the company, after it has seen some of its high-end staff head out the door. ย  The database is based on employee reviews, pay and promotion histories and a mathematical formula that the […]

Internet giant Google is working on a database that will determine which of its 20,000 employees are the most likely to leave the company, after it has seen some of its high-end staff head out the door.

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The database is based on employee reviews, pay and promotion histories and a mathematical formula that the company claims can accurately determine which workers will quit ahead of others.

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The company says that the database has already identified workers who feel their skills are being under-used, a key complaint of workers contemplating leaving.

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Former Google employees, such as designer Doug Bowman, engineer Steve Horowitz and search-engine worker Santosh Jayaram, have all left the company to work on internet start-ups.

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The company has even lost some of its executive team to other companies, with head of display advertising David Rosenblatt and advertising sales chief Tim Armstrong both departing.

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Valerie Frederickson, a consultant in the Silicon Valley area who has worked with Google employees, told the Wall Street Journal that Google is losing employees by not implementing personable human-resources programs and training.

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“They need to come up with ways to keep people engaged. If Google was doing this enough, they wouldn’t be losing all these people,” she said.ย 

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But Google spokesperson Matt Furman responded that “we haven’t see the most critical people leave”.

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Laszlo Black, Google human resources director, said that the algorithm helps the firm “get inside people’s heads even before they know they might leave”.

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