[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.
2 years ago-
chrispazen reblogged this from dalasverdugo and added:
I wish I could use this for my friends. (to determine who may be feeling a little under-zagorskied by me.)
-
duncancarson reblogged this from rocketboom and added:
GOOGLE IS IN YUR BRAIN, PREDICTIN’ YUR BEHAVIORS!
-
testingdistance reblogged this from rocketboom and added:
[Google] recently began crunching data from employee reviews and promotion and pay histories in a mathematical formula...
-
brooksjordan liked this
-
jamiew liked this
-
dbreunig reblogged this from himmelsblog and added:
At a previous employer we rigged up a script that checked for increases in LinkedIn activity for the same ends. I’d bet...
-
himmelsblog reblogged this from rocketboom
-
dreamofthegallows liked this
-
agsystems liked this
-
darran reblogged this from rocketboom and added:
In this climate the formula is something like this: Total Employees - People who like having a job = people who want to...
-
beardedmerrill reblogged this from azspot
-
arig liked this
-
joshuatuscan liked this
-
rocketboom reblogged this from dalasverdugo
-
tarmaie liked this
-
dalasverdugo reblogged this from azspot and added:
Luv U, Corporate America.
-
continuum reblogged this from azspot
-
pdl2h reblogged this from azspot
-
altidude liked this
-
ledgergermane liked this
-
azspot posted this
