Employee feelings through data

ARTICLE | November 14, 2023

How to spot employee blues

Workers generate vast amounts of data every day. Why not use it to find out how they’re feeling?

By Howard Rabinowitz, Workflow contributor


Leave it to Gen Z to let employers know that the world of work is not, well, working all that well for them. In a study by the Society of Human Resource Management, almost half of this demographic—which includes workers age 26 and younger—said their jobs are stressing them out and hurting their mental health at least once a week. More than 61% said they would quit if another job provided better mental health support. Across the board, a lot of workers are just plain lonely, their managers suggest.

And they don’t feel heard. In a Deloitte Workplace Intelligence study, most worker respondents said they didn’t think their companies’ executives were aware of their well-being issues, which was only confirmed by the 75% of executives who incorrectly believed their workforce’s health had been improving.

In a way, the disconnect isn’t all that surprising. In a world of hybrid work and geographically disparate offices, how can employers get a clear sense of their workers’ mental well-being when their best interfaces are Teams and Zoom?

The answer, as ever, is data.

Employees generate a constant stream of data, such as hours worked, amount of specific deliverables, time spent on specific work, and time spent on websites unrelated to their work. Employers must be sensitive and transparent in how they use this data, but Jeffrey T. Polzer, a professor of human resource management at Harvard Business School who has studied the rise of people analytics, says all of this “creates unprecedented opportunities for studying human behavior at work,” including mental well-being, so that employers can identify workers needing support.


Advances in privacy-protecting data collection, analytics, and AI are making it possible for employers to get insights about employee wellness on an individual level that can surface emotional states. Sentiment analysis of employee communications can pick up on an employee’s moods, wearables can report on stress levels, and predictive analytics can take all of those signals and provide a dashboard view that helps HR and managers spot trends and then respond with programs and support. Corporate HR departments already leverage people analytics to track productivity and performance, but now they are being applied to employee well-being too.

“People analytics is a really important tool that can be used for a variety of initiatives,” says Mark Promislo, professor of organizational behavior and ethics at Rider University. “In terms of being able to look at performance data and really being able to analyze a lot of different data that can be used to improve outcomes for organizations and people, it’s very exciting.”

Advances in privacy-protecting data collection, analytics, and AI are making it possible for employers to get insights about employee wellness on an individual level.

Historically, companies have used employee wellness surveys to assess the mental and physical health of employees and measure their well-being at work. Josh Bersin, CEO of The Josh Bersin Company, an HR advisory firm, cites an investment bank that regularly polls employees for mental health concerns. “[Its] chief medical officer looks at data daily to see if teams are overworked or under stress,” he says. Bersin says bank executives tell him they can identify management issues causing employee stress within days and then provide coaching to get worker well-being back on track for a happier, more engaged workforce.
 

But people analytics is giving companies a more efficient way to keep tabs on and extract insights about employee wellness and the health of the company culture from the data generated by employees.

One such employee health assessment tool is Erudit AI, which analyzes video and text over email, chat, message boards, and other company communications platforms. Using sentiment analysis and real-time employee engagement metrics, it scans for language and a wide range of behaviors that may indicate burnout risk, job satisfaction, organizational alignment, healthy or unhealthy peer relationships, and more.

More than 61% of Gen Z employees would quit for a job with better mental health support.

“These metrics help managers identify employees who may need attention,” says Alejandro Martinez Agenjo, co-founder and CEO of Erudit.

Apps like the coaching platform BetterUp also use AI to measure emotional and cognitive states. When these apps are provided by employers or insurers as a part of their benefits, this information is relayed back to organizations or providers. BetterUp provides an employer dashboard of people analytics for companies that sign up for BetterUp Care, its corporate program.

Some companies, such as BMW and Audi, have used data from employees’ wearable devices (with their permission) to maintain visibility into worker well-being. Others, like Intuit, have used sentiment analysis of communications to spot symptoms of employee mental health issues. Hitachi has tested voice analysis technology as a way to reduce absenteeism stemming from wellness issues.

Even though employees may have varying degrees of awareness that everything they do is free for a company to see and know about, experts suggest that companies are better off setting clear rules and gathering data about their employees’ experiences on an aggregate level.

“The main issue is confidentiality,” Bersin says. “If an employee has problems at home, at work, or with a manager or peer, it should be kept confidential. Third-party apps do this, and coaching networks are confidential.”

Rider University's Promislo says the holistic solution is clear communication. “Transparency and guidelines have to be there,” he says. “This is very personal, and I think most employees may not be aware that companies are using data to assess well-being.”

Better yet, he suggests, collect and analyze employee data at the aggregate level. “Then employers can see that, for instance, maybe all the people who work remotely tend to have mental health issues, so maybe we can introduce a program to alleviate that,” he says.

Ultimately, says Bersin, “There’s no substitute for a well-run company with managers and supervisors who listen, care, support, and help develop their people.” But technology for measuring employee well-being and tools that make work easier can certainly help.
 

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Author

Howard Rabinowitz is a business and technology writer based in West Palm Beach, Fla.

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