Amazon CEO Jeff Bezos
Amazon isn’t the only company that is using data on employees to improve productivity.
A New York Times article over the weekend portrayed Amazon’s work culture as “bruising” and “Darwinian” in part because of the way it uses data to manage its staff. The article depicted a work culture where staffers are under constant pressure to deliver strong results on a wide variety of detailed metrics the company monitors in real time — such as what gets abandoned in peoples shopping cards and what videos people stream — and encouraged to report praise or criticism about colleagues to management to add to more data about workers performance. The story led to an outcry on social media.
Amazon’s CEO Jeff Bezos said in a memo to staff over the weekend that the article doesn’t accurately describe the company culture he knows. But experts say the kind of data-driven staff management Amazon uses is set to become more common as technology continues to transform the American workplace.
“Every company is somewhere in process toward using data to get a better handle on who their top performers are and to understand where people stand,” said John Challenger, CEO of outplacement consultancy Challenger, Gray & Christmas, Inc.
Companies, both large and small, have been moving away from traditional human resources reviews that rely on annual performance evaluations. They’re moving toward a more data-driven approach with more frequent feedback, check-ins, and other metrics.
Consulting firms Accenture and Deloitte both said this year they would revamp their performance review processes, for example, adopting a more data driven approach that includes more frequent ratings by managers and other internal feedback and data that can be aggregated and analyzed to provide a better portrait of performance than a single rating. In an essay in the Harvard Business Review, Deloitte said the new approach uses “the technology to go from a small data version of our people to a big data version of them.”
Tech companies have been even speedier in applying data analytics to staffing. Google, for example, uses data to figure out how to put together optimal-sized teams for projects and figure out what makes effective leaders.
Paul Hamerman, a Forrester analyst who focuses on human resources management and financial applications, says the future may look more like what Glint Inc., based in Redwood City, Calif., is offering clients. The company, with clients including music-streaming site Pandora and marketing automation company Marketo, sends employees what it calls “pulses,” or short surveys about how they are feeling and how they feel about their job.
Glint CEO Jim Barnett said the surveys let executives see how the health of their employees and company are faring in real time, in the same speed with which they might be able to check sales results or marketing impressions. Since the “pulses” to company employees recur more frequently than traditional reviews. And their data can be aggregated to give a clearer picture of how employees are faring overall.
“The old mentality was once a year we would check in with an annual survey, have an annual review, set goals,” said Barnett. “What we’ve learned is the world today moves much faster than that.”
One of Glint’s clients, Marketo, was able to use the data gleaned from the Pulses to see that women in one department were ranking their work/life balance substantially lower than expected. The company found a staffing shortage in that area and increased staff.
“What they were able to do was to go in and increase the staffing before they had significant attrition,” Barnett said. “The beauty of systems like this is you’re able to link actions to outcomes.”
The downside to a data-driven approach is t can seem “Big Brother-ish” to staffers. But Glint said the surveys that the company sends out have an 80 to 85 percent response rate. “Employees tend to be willing to share,” Barnett said. Mae Anderson, Technology Writer, New York, AP
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