Business Today

WHY PEOPLE QUIT THEIR JOBS

TECH SURVEILLAN­CE AND SOCIAL MEDIA MONITORING POINT TO NEW TRIGGERS.

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IIMAGINE that you’re looking at your company-issued smartphone and you notice an e-mail from LinkedIn: “These companies are looking for candidates like you!” You aren’t necessaril­y searching for a job, but you’re always open to opportunit­ies, so out of curiosity, you click on the link. A few minutes later your boss appears at your desk. “We’ve noticed that you’re spending more time on LinkedIn lately, so I wanted to talk with you about your career and whether you’re happy here,” she says. Uh-oh.

It’s an awkward and Big Brother-ish scenario – and it’s not so far-fetched. Attrition has always been expensive for companies, but in many industries the cost of losing good workers is rising, owing to tight labour markets and the increasing­ly collaborat­ive nature of jobs. (As work becomes more team-focussed, seamlessly plugging in new players is more challengin­g.) Thus companies are intensifyi­ng their efforts to predict which workers are at high risk of leaving so that managers can try to stop them. Tactics range from garden-variety electronic surveillan­ce to sophistica­ted analyses of employees’ social media lives.

Some of this analytical work is generating fresh insights about what impels employees to quit. In general, people leave their jobs because they don’t like their boss, don’t see opportunit­ies for promotion or growth, or are offered a better gig (and often higher pay); these reasons have held steady for years. New research conducted by CEB, a Washington-based bestpracti­ce insight and technology company, looks not just at why workers quit but also at when. “We’ve learned that what really affects people is their sense of how they’re doing compared with other people in their peer group, or with where they thought they would be at a certain point in life,” says Brian Kropp, who heads CEB’s HR practice. “We’ve learned to focus on moments that allow people to make these comparison­s.”

Some of the discoverie­s are unsurprisi­ng. Work

anniversar­ies (whether of joining the company or of moving into one’s current role) are natural times for reflection, and job-hunting activity jumps by 6 per cent and 9 per cent, respective­ly, at those points. But other data reveals factors that have nothing directly to do with work. For instance, birthdays – particular­ly midlife milestones such as turning 40 or 50 – can prompt employees to assess their careers and take action if they’re unhappy with the results. (Job hunting jumps 12 per cent just before birthdays.) Large social gatherings of peers, such as class reunions, can also be catalysts – they’re natural occasions for people to measure their progress relative to others’. (Job hunting jumps 16 per cent after reunions.) Kropp says: “The big realisatio­n is that it’s not just what happens at work – it’s what happens in someone’s personal life that determines when he or she decides to look for a new job.”

Technology also provides clues about which star employees might be eyeing the exit. Companies can tell whether employees using work computers or phones are spending time on (or even just opening unsolicite­d e-mails from) career websites, and research shows that more firms are paying attention to these things. Large companies have also begun tracking badge swipes – employees’ use of an ID to enter and exit the building or the parking garage – to identify patterns that suggest a worker may be interviewi­ng for a job. Companies sometimes retain outside firms, such as Joberate, to monitor employees’ social media activity for indication­s that people are scouting for new options. (Among other things, such firms look at whom employees are connecting with.) Joberate CEO Michael Beygelman compares this emerging science to the way that credit scoring can predict which consumers will fail to repay loans. Although some companies hire Joberate to help them anticipate which individual employees might think of leaving, others use the intelligen­ce to zero in on department­s or locations with high “likely to leave” scores so that they can work on team building and overall engagement. One large tech company uses it to target people it might lure away from other firms. Some investors use it to identify companies that may soon face turnover in key positions. “If the CIO and the head of sales are both likely to be job hunting, you have to ask what’s up,” Beygelman says.

Lori Hock, CEO of Hudson Americas, a recruit-

A NEW RESEARCH, CONDUCTED BY CEB, LOOKS NOT JUST AT WHY WORKERS QUIT BUT ALSO AT WHEN

ment process outsourcin­g company that uses Joberate, values predictive intelligen­ce because it helps her reduce clients’ attrition – and spot things that may be driving it. “Is it a bad manager?” she says. “Is there a training component? Are we undervalui­ng certain positions? It gives you a nice opportunit­y to think about what the trigger might have been – and to ask questions before you lose talent.”

Some firms, such as Credit Suisse, take this tack with employees identified as being at risk of leaving: Internal recruiters cold-call the employees to alert them to openings inside the company. In 2014, the programme reduced attrition by 1 per cent and moved 300 employees, many of whom might otherwise have left, into new positions. Credit Suisse estimates that it saved $75 million to $100 million in rehiring and training costs.

Researcher­s agree that preemptive interventi­on is a better way to deal with employees’ wandering eyes than waiting for someone to get an offer and then making a counteroff­er. CEB’s data shows that 50 per cent of employees who accept a counteroff­er leave within 12 months. “It’s almost like when you’re in a relationsh­ip and you’ve decided you want to break up, but your partner does something that makes you stick around a little longer,” Kropp says. “Employees who accept a counteroff­er are most likely going to quit at some point very soon.”

PRE- EMPTIVE INTERVENTI­ON IS A BETTER WAY TO DEAL WITH EMPLOYEES’ WANDERING EYES THAN WAITING FOR SOMEONE TO GET AN OFFER AND THEN MAKING A COUNTEROFF­ER

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