I'm Drew Breunig, an anthropologist/advertiser/developer/geek. These are things I think are interesting. Here are some things I read. Questions? Comments?
[Google] recently began crunching data from employee reviews and promotion and pay histories in a mathematical formula Google says can identify which of its 20,000 employees are most likely to quit.
Google officials are reluctant to share details of the formula, which is still being tested. The inputs include information from surveys and peer reviews, and Google says the algorithm already has identified employees who felt underused, a key complaint among those who contemplate leaving.
Google’s algorithm helps the company “get inside people’s heads even before they know they might leave,” said Laszlo Bock, who runs human resources for the company.
Luv U, Corporate America.
(via: dalasverdugo: azspot)
At a previous employer we rigged up a script that checked for increases in LinkedIn activity for the same ends. I’d bet we weren’t as accurate and certainly not as scalable.
