PERFORMANCE MANAGEMENT USING AI-DRIVEN CONTINUOUS FEEDBACK

By enabling Al-driven tools in continuous feedback, organizations can create work environments that foster innovation, engagement, and success

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Srinivasa Bharathy
Managing Director & CEO
Adrenalin eSystems Limited

Srinivasa is a senior leadership professional with varied experience ranging from Business Consulting, Product Management and strong background in Healthcare sectors, etc. He enjoys ideation, solutioning and engaging with clients to solve business challenges that improve the quality of personal life while helping achieve their business goals.

Performance management has long been tangled in a system of annual reviews and rigid statistics metrics. These conventional practices often fall short of meeting the demands of today's fast-evolving business world. This annual performance management might even do more harm than good for the employees. They are left demotivated, unappreciated, and unclear about how their work is contributing to the organizational goals. And yet here we are, still measuring performance once a year rather than leveraging the real-time data in assessing performances. The shift to continuous feedback is not just a trend, it is a necessity in understanding how modern and agile workplace's function.

The Case for Continuous Feedback

After COVID-19 pandemic, the workplace landscape has evolved drastically with hybrid and remote work models becoming a norm. Today, employees no longer sit in cubicles staring at the same four walls every day. They are dispersed across different geographies and juggle multiple tasks, adapting to ever-changing work environments. Consequently, the share of employees working remotely worldwide has risen from 20 percent in 2020 to 28 percent in 2023, according to a research by Statista. This shift has altered employees' expectations regarding their performance management. They want regular and actionable feedback that helps them to grow in their career.