“Google is really at the leading edge of that,” says Todd Safferstone, managing director of the Corporate Leadership Council of the Corporate Executive Board, who has a good perch to see what H.R. executives at more than 1,000 big companies are up to.
Project Oxygen is also unusual, Mr. Safferstone says, because it is based on Google’s own data, which means that it will feel more valid to those Google employees who like to scoff at conventional wisdom.
Many companies, he explained, adopt generic management models that tell people the roughly 20 things they should do as managers, without ranking those traits by importance. Those models often suffer “a lot of organ rejection” in companies, he added, because they are not presented with any evidence that they will make a difference, nor do they prioritize what matters.
“Most companies are better at exhorting you to be a great manager, rather than telling you how to be a great manager,” Mr. Safferstone says.
PROJECT OXYGEN started with some basic assumptions.
People typically leave a company for one of three reasons, or a combination of them. The first is that they don’t feel a connection to the mission of the company, or sense that their work matters. The second is that they don’t really like or respect their co-workers. The third is they have a terrible boss — and this was the biggest variable. Google, where performance reviews are done quarterly, rather than annually, saw huge swings in the ratings that employees gave to their bosses.
Managers also had a much greater impact on employees’ performance and how they felt about their job than any other factor, Google found.
“The starting point was that our best managers have teams that perform better, are retained better, are happier — they do everything better,” Mr. Bock says. “So the biggest controllable factor that we could see was the quality of the manager, and how they sort of made things happen. The question we then asked was: What if every manager was that good? And then you start saying: Well, what makes them that good? And how do you do it?”
In Project Oxygen, the statisticians gathered more than 10,000 observations about managers — across more than 100 variables, from various performance reviews, feedback surveys and other reports. Then they spent time coding the comments in order to look for patterns.
Once they had some working theories, they figured out a system for interviewing managers to gather more data, and to look for evidence that supported their notions. The final step was to code and synthesize all those results — more than 400 pages of interview notes — and then they spent much of last year rolling out the results to employees and incorporating them into various training programs.
The process of reading and coding all the information was time-consuming. This was one area where computers couldn’t help, says Michelle Donovan, a manager of people analytics who was involved in the study.
“People say there’s software that can help you do that,” she says. “It’s been our experience that you just have to get in there and read it.”
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