Automated Performance Appraisals –The Rise of the Machines

Automated Performance Assessment –The Rise of the Machines

April 20, 2018: It’s the Judgement Day today in Sparrow Solutions today – the annual appraisal ratings will be released in the organization today. For most employees, it’s the day when their efforts throughout the year will be recognized and eventually be rewarded through increments, bonuses, and promotions. A few employees fear the worst that they might be asked to leave due to under-performance. Every year the bottom 10% of employees is asked to leave the organization due to poor performance. It’s a tough call but it has to be done. But one wonders why should the organization wait for a whole year to figure that someone is under-performing and corrective action needs to be taken? On the other hand, an employee who is an overachiever needs to wait until the end of the year to be rewarded and given the next level of challenges.

The other big flaw in the system today is that the qualitative assessment of performance leaves a lot of room for biases to creep in. Plus, in most organizations, the HR team and the people managers spend an inordinate amount of time in discussing and debating about the performance ratings. Add to that the time spent in collating and presenting the data. All of this hampers productivity and delays actual action.

In all organizations, there is a big push towards making data-driven decisions even in people matters. The big data approach to performance appraisals could increase efficiency, cut down on the manual effort, reduce bias and the cycle time of performance appraisals. We should be looking at continuous performance assessment and corrective actions.

As employees work in the organization, they leave a trail of data in their everyday work tools be it Project Management System, CRM, ERP, Time and Attendance System, etc. Automated performance management systems of the future will monitor employee performance on a continuous basis, based on the data derived from these systems. These systems will score the employee’s performance based on various parameters linked to business results and suggest corrective actions or even initiate actions itself. Actions could range from playing a motivational video, recommending a training course, connecting with an internal subject matter expert on chat to even recommending a change in job profile of the employee.

The biggest advantage of such systems would be the continuous assessment of employee performance. Corrective actions can be taken immediately, so no need to wait until the appraisal cycle. Be it training, reskilling, role enhancement (read as a promotion) or role change – can be initiated immediately. The system will have predefined thresholds for each action. The system will learn from past experiences of such interventions and their effectiveness, and tweak its algorithm for more effective interventions. The system can also keep track of employee motivation and take corrective action before it starts affecting productivity.

In today’s business environment, every second count. And keeping pace with the business changes is the need of the hour. Hence, such performance measurement and development systems can make employees and organizations more responsive to chances. It will result in higher productivity, greater business impact and higher employee satisfaction. The amount of time spent by the management and HR in the formal appraisal process can be cut down drastically further increasing productivity. Think of start-ups and small companies that are growing rapidly, which need to be extremely responsive to the business environment. But at the same time, they will always be short on HR resources to manage their people and performance. The other advantage is that these systems remove supervisor bias and errors.

While it might take some time before the system can speak out ‘you are promoted’ or ‘you are terminated’ but we are definitely going to see more intelligent learning systems for employee performance management very soon.

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