In First, Break All the Rules, Coffman and Buckingham lay out a case that employees join organizations but leave supervisors.
Now, it seems that Google is working on an algorithm which will help identify employees who are on the verge of leaving... before the employee even knows they're thinking about it.
Scott Morrison at the Wall Street Journal tells us Google Searches for Staffing Answers.
The Internet search giant 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. . . .I wonder if America's smallest military service could do something similar.
Applying a complex equation to a basic human-resource problem is pure Google, a company that made using heavy data to drive decisions one of its "Ten Golden Rules" outlined in 2005. . . .
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.