🤵🏻 AI-Powered Performance

Today's Highlights

How AI is helping in performance management

Learn - a couple of courses to further your knowledge in AI

AI Jobs - a listing of fresh jobs related to AI

In Other News - a few interesting developments we're tracking

Performance management, a critical function within HR, involves evaluating, developing, and enhancing employee performance to align with organizational goals. Historically, this process has been fraught with challenges, including biases in evaluations, inefficiencies in feedback mechanisms, and difficulties in personalized employee development. AI addresses these challenges head-on by introducing data-driven insights, real-time feedback, and predictive analytics.

Objective Performance Evaluations

A manager traditionally rates an employee's performance based on observations and feedback. However, biases can affect these evaluations. AI tools can analyze diverse data, such as the number of completed projects, meeting participation, and client feedback, to provide an objective performance score.

IBM uses AI to analyze employees' project outcomes and feedback from peers and clients. This data-driven approach minimizes bias and offers a more accurate assessment of performance.

Continuous Feedback and Real-Time Monitoring

In a traditional setup, feedback might be given once a year during an annual review. With AI, feedback can be continuous. For instance, if an employee misses deadlines frequently, an AI tool can instantly alert the employee and manager, allowing for immediate corrective action.

Adobe implemented a system called "Check-in" which utilizes AI to provide continuous feedback and real-time monitoring of employee performance, replacing the annual review system. This approach helps in addressing performance issues as they arise.

Personalized Development Plans

An employee wants to improve their skills. AI tools can analyze their performance data, career goals, and available training resources to recommend specific courses or projects that align with their development needs.

Google uses AI to recommend personalized learning and development programs for its employees. Their internal platform, "Grow," uses machine learning to suggest relevant training based on the employee's career aspirations and current role.

Enhanced Employee Engagement

An AI-powered chatbot engages with employees regularly, asking about their work experience and any concerns they might have. This helps HR understand employee sentiment and address issues promptly.

Johnson & Johnson uses an AI chatbot named "Jill" to engage with employees, gather feedback, and address common queries. This tool helps maintain high levels of employee engagement and satisfaction.

By embracing AI, organizations can foster a more engaged, productive, and equitable workforce, positioning themselves for greater success in an increasingly competitive landscape.