Business Standard

Your raise is now based on next year’s performanc­e

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Maybe past performanc­e isn’ t the best predict or of futures uccess.

At IBM, when performanc­e review time rolls around, employees get judged not only on their past accomplish­ments( and failures) but also on how they might perform in the future. How can IBM predict the future? In a word: Watson.

Using artificial intelligen­ce, Watson Analytics look satan employee’ s experience­s and projects to infer the potential skills and qualities each person might have to serve IBM in the future. Watson also sc ours IBM’ s internal training system to see if an employee has gained new skills. Managers then take Watson’ s assessment rating into account as they make bonus, pay and promotion decisions.

“Traditiona­l models said if you were a strong performer in your current job that was the singular way that you got a promotion ,” said Nickle La Moreaux, vice-president for compensati­on and benefits at IBM .“Well, we certainly still care about performanc­e ,” she said. But that now includes hypothetic­al future performanc­e, too. IBM claims Watson has a 96 percent accuracy rate, as compared to IBM’ s internal analysis with HR experts. The company spot-checks employee performanc­e against its prediction­s.

Historical­ly, employers used past accomplish­ments as the sole metric for compensati­on decisions, premised on the idea that the past is prologue. The method worked when job tasks stayed relatively static overtime, but“the half-life of skills is getting shorter and shorter ,” said La More aux. What employees could do yesterday matters less than what they can potentiall­y do tomorrow.

To motivate employees to learn new skills, more employers are starting to focus on the future during evaluation­s. A survey of more than 2,000 organisati­ons by the consulting firm Willis Towers Watson, found that over 40 percent of respondent­s are considerin­g changing the focus of performanc­e management to include future potential and possession of skills.

 ??  ?? Using past performanc­e for compensati­on decisions works when job tasks stay static
Using past performanc­e for compensati­on decisions works when job tasks stay static

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