Supervisors today face persistent challenges in addressing contact center agent burnout and turnover. In today’s remote and hybrid work environments, they often lack the visibility they need to identify and address workforce pain points before they escalate. The result? Increased turnover, strained morale, and mounting costs—up to $35,000 per agent.

But what if you could predict burnout before it happens? Intradiem’s Agent Burnout Indicator solves this problem by using advanced machine learning (ML) and quantitative analytics to predict burnout before it results in attrition. By identifying early warning signs, Agent Burnout Indicator empowers supervisors to make proactive decisions based on data. This fosters a more engaged, more committed, and more productive workforce.

Hear how Intradiem’s Agent Burnout Indicator enables supervisors to move beyond guesswork and blanket approaches to implement data-driven strategies that protect agent well-being, boost engagement, and drive performance.

Key Takeaways:

• How to identify at-risk agents and take timely, personalized, automated actions
• The impact of personalized coaching and data-backed engagement strategies
• Why transparency, explainability, and proven reliability sets our solution apart

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