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What Elon Musk gets wrong about employee productivity

Although quantitative measures of input and output still have their place, these are not the best indicators of how people are performing. Instead, a more holistic approach is required
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When Elon Musk acquired Twit­ter last Octo­ber, he raised eye­brows by demand­ing that employ­ees com­mit to mak­ing the busi­ness “extreme­ly hard­core”. This direc­tive includ­ed a stark ulti­ma­tum: either work “long hours at high inten­si­ty” or leave. There was even talk of pro­gram­mers being asked to print out every­thing they had worked on recent­ly, with the num­ber of lines of code they’d writ­ten serv­ing as a mea­sure of their val­ue to the com­pa­ny.

Musk is an extreme exam­ple of the ‘cult of pro­duc­tiv­i­ty’ that still per­vades many organ­i­sa­tions. See also Ama­zon, which has attract­ed much crit­i­cism for hav­ing adopt­ed an auto­mat­ed mon­i­tor­ing sys­tem to track the time ware­house work­ers aren’t spend­ing on their allot­ted tasks. 

The rights and wrongs of work­place sur­veil­lance aside, many behav­iour­al experts don’t believe that gaug­ing per­for­mance using such cold­ly math­e­mat­i­cal mea­sure­ments is the best way to get the best from peo­ple. Kim-Adele Ran­dall, CEO of change man­age­ment con­sul­tan­cy Authen­tic Achieve­ments, is one of them.

“Pro­duc­tiv­i­ty does have its place as a mea­sure,” she says. “But, if that’s the only one you’re using, it will fail even­tu­al­ly because it’s too con­strain­ing.”

One prob­lem with mea­sur­ing an individual’s per­for­mance in pure­ly quan­ti­ta­tive terms, such as the num­ber of hours worked or the num­ber of wid­gets pro­duced, is that it ignores qual­i­ty. A sec­ond is that it can cre­ate per­verse incen­tives, prompt­ing peo­ple to focus on the wrong out­puts.

Mea­sur­ing the wrong thing – that is, just how busy employ­ees are – caus­es mas­sive prob­lems, because it doesn’t make peo­ple feel val­ued

“In call cen­tres, for instance, rat­ing employ­ees by the num­ber of calls they com­plete will dri­ve them to get through those calls as quick­ly as pos­si­ble. It means they won’t focus on ‘first con­tact’ res­o­lu­tion, as that takes too long,” Ran­dall says. 

As a result, a cus­tomer is more like­ly to be left unsat­is­fied by a per­func­to­ry inter­ac­tion that doesn’t resolve their query on the first call.

A third down­side of using quan­ti­ta­tive met­rics alone is the neg­a­tive impact this will often have on the peo­ple being mea­sured, she adds. “Mea­sur­ing the wrong thing – that is, just how busy employ­ees are – caus­es mas­sive prob­lems, because peo­ple don’t feel val­ued. Heav­en for­bid they miss their per­for­mance tar­gets. And at best, all they ever get to be under that sys­tem is ‘not wrong’. There is no upside.” 

The longer-term result of this prac­tice is that peo­ple will tend to burn out under the stress it impos­es and, even­tu­al­ly, quit. The organisation’s staff reten­tion rate then declines, as does its per­for­mance as expe­ri­enced work­ers leave in their droves. In turn, it must spend more on recruit­ing replace­ments – and it may find attract­ing new tal­ent hard­er if the exo­dus has harmed its rep­u­ta­tion as an employ­er. 

How to introduce more qualitative metrics

The solu­tion seems straight­for­ward enough: use an appro­pri­ate bal­ance of quan­ti­ta­tive and qual­i­ta­tive met­rics, which should be reviewed reg­u­lar­ly to ensure that they aren’t encour­ag­ing dys­func­tion­al behav­iour. Man­agers at the call cen­tre, for instance, could assess cus­tomer feed­back in sur­veys or online reviews, or even lis­ten in on calls to gauge the qual­i­ty of the ser­vice their staff are pro­vid­ing. 

A firm’s choice of qual­i­ta­tive mea­sures will send employ­ees an impor­tant mes­sage about the out­puts that real­ly mat­ter to it, says Jere­my Camp­bell, CEO of busi­ness improve­ment con­sul­tan­cy Black Isle Group.

“Daniel Pink’s 2009 book, Dri­ve: the sur­pris­ing truth about what moti­vates us, dis­cuss­es how mas­tery, pur­pose and auton­o­my are the three intrin­sic dri­vers of pro­duc­tiv­i­ty and engage­ment,” he explains. 

With these prin­ci­ples in mind, it’s par­tic­u­lar­ly valu­able to assess how engaged peo­ple are with their organisation’s pur­pose. Reten­tion rates may be a good indi­ca­tor of that, but more mean­ing­ful insights are like­ly to come from how employ­ees behave – for instance, call-cen­tre staff tak­ing the time to lis­ten care­ful­ly to cus­tomers’ queries rather than get­ting them off the line as quick­ly as pos­si­ble.

Camp­bell also advo­cates tak­ing more of a “per­for­mance coach­ing” tack. To this end, he rec­om­mends break­ing down the busi­ness year, or indi­vid­ual projects, into 10-week sprints, the suc­cess of which is based on hit­ting clear­ly defined aims that dove­tail with annu­al goals. Dai­ly activ­i­ties should con­tribute to these aims. Per­for­mance should be reviewed week­ly to iden­ti­fy how the busi­ness can best help peo­ple to improve – for instance, by offer­ing train­ing where skills gaps exist.

Performance management that works for everyone

Com­pe­ten­cy frame­works offer an alter­na­tive approach, which has been used to great effect by Edin­burgh-based soft­ware devel­op­er xDe­sign. Indeed, it helped the firm to clinch the top spot in its size cat­e­go­ry in Great Place To Work’s rank­ings of the UK’s Best Work­places in Tech 2022. 

These frame­works, which the com­pa­ny cre­at­ed itself, set out the skills required and out­puts expect­ed of junior, mid­weight and senior employ­ees across the busi­ness. It ensures that staff at all lev­els are clear about how best to con­tribute towards their organisation’s goals. They must also set aside time to estab­lish key per­for­mance indi­ca­tors with their line man­agers. 

Data is a pow­er­ful strand, but it’s not the only one. You need to treat each employ­ee like a whole per­son, not just a pro­duc­tive unit

Timesheets are among the quan­ti­ta­tive mea­sures that xDe­sign uses, although these serve exclu­sive­ly as resource-plan­ning tools for bill­able projects. The hard­er met­rics are record­ed in a per­for­mance man­age­ment sys­tem along­side qual­i­ta­tive mea­sures such as 360-degree feed­back and are reviewed reg­u­lar­ly to check their ongo­ing effec­tive­ness. Per­son­al devel­op­ment plans are also an impor­tant part of the mix. 

“If some­one isn’t per­form­ing, the com­pe­ten­cy frame­work is the thing we go back to,” says the firm’s chief peo­ple offi­cer, Ciji Dun­can. “It’s how we can see if some­one is doing their job effec­tive­ly – and it enables us to have the nec­es­sary con­ver­sa­tions.”

Ulti­mate­ly though, ensur­ing effec­tive per­for­mance from employ­ees requires a “holis­tic approach”. 

“This is an amal­gam of sev­er­al things, but much of it is about ensur­ing open dia­logue and set­ting clear expec­ta­tions,” Dun­can explains. “Data is a pow­er­ful strand, but it’s not the only one. You need to treat each employ­ee like a whole per­son, not just a pro­duc­tive unit.”