How AI Can Help Stressed-Out Managers Be Better Coaches

Exciting developments in managerial coaching! Middle managers face growing pressure to provide real-time, personalized feedback to meet rising employee expectations. Our research points to the potential of AI tools easing this challenge, enhancing coaching efficiency.

According to O.C. Tanner's 2023 Global Culture Survey, increased supervisory responsibilities correlate with a 21% higher anxiety rate, elevating burnout odds by 520%. Despite the desire to coach for improved job satisfaction and performance, overload is a concern.

AI-based coaching, though not widespread, shows promise. Case studies from Eleos Health and Gong illustrate AI's role in behavioral health and sales coaching, respectively. These platforms streamline data analysis, offer real-time insights, and create valuable learning resources, saving time for managers and fostering continuous improvement.

While exploring AI options, HR and managers should assess workforce readiness and be mindful of potential challenges. "Algorithm aversion" and concerns about bias, transparency, and privacy require careful consideration.

To successfully implement AI-assisted coaching, consider these five steps:

1. Establish psychological safety and trust.

2. Engage employees in design and implementation.

3. Give employees control over their data and participation.

4. Streamline and customize the output.

5. Train managers intensively.

AI tools hold great promise for enhancing coaching quality, frequency, and personalization. Success hinges on thoughtful integration that improves the overall human experience for both managers and employees. hashtag#AI hashtag#Coaching hashtag#ManagementDevelopment

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