Longer shifts can in­crease your er­ror rates


If you thought that work­ing long hours may help you please your boss, think twice. Ac­cord­ing to a sur­vey done by a global soft­ware firm, em­ploy­ees who work longer shifts typ­i­cally make 9% more er­rors than those on with shorter shifts.

This demon­strates that at­ten­tion spans drift over a long work day while re­veal­ing how in­ef­fec­tive soft­ware and poor pro­cesses are hin­der­ing pro­duc­tiv­ity for many work­ers.

The sur­vey also found that work­ers are sad­dled with sev­eral dis­con­nected ap­pli­ca­tions, lead­ing to poor pro­cesses, in­creased er­rors, and wasted ac­tions that could oth­er­wise be au­to­mated.

“Many or­gan­i­sa­tions in­stinc­tively try to solve process is­sues and im­prove em­ployee pro­duc­tiv­ity by throw­ing more soft­ware at the prob­lem with­out truly un­der­stand­ing the root cause of their in­ef­fi­cien­cies,” said Don Schuer­man, CTO of the soft­ware firm that’s done the sur­vey.

Work­ers tend to check their email 10 times per hour, or once ev­ery six min­utes, through­out the course of their day. Em­ploy­ees spend 13% of their time on email, of which only 23% is spent on val­ue­gen­er­at­ing work. On av­er­age, work­ers per­form 134 ‘copy and paste’ ac­tions each day — high­light­ing how of­ten em­ploy­ees must switch be­tween ap­pli­ca­tions us­ing same data to com­plete a task.

The sur­vey fur­ther states that em­ploy­ees com­mit 845 key­ing er­rors per day or once out of ev­ery 14 key­strokes, which shows the po­ten­tial to au­to­mate more of their work­flow to re­duce man­ual mis­takes.

The sur­vey is based on the anal­y­sis of nearly five mil­lion hours of desk­top ac­tiv­ity of op­er­a­tional sup­port em­ploy­ees — who pri­mar­ily per­form the rou­tine back of­fice, data en­try, or con­tact cen­tre tasks — at Global 2000 com­pa­nies from Jan­uary to Septem­ber.


The sur­vey found that work­ers are sad­dled with too many of dis­con­nected apps, lead­ing to poor pro­cesses, in­creased er­rors, and wasted ac­tions that could oth­er­wise be au­to­mated

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