The Story Behind the Turnover Signal Model™
From tension to transformation: how a deeper question reshaped the conversation on turnover.
The idea for this model began with tension—between leadership intentions and employee realities, between what turnover metrics capture and what truly disappears when a colleague walks away. Behind every exit is a story that metrics miss. What really disappears? Knowledge. Trust. Continuity.
During my doctoral research, I focused on those who remain. They weren’t just holding the line; they were carrying the emotional, cultural, and operational weight of the organization in silence. I realized that every exit is a signal of organizational strain, leadership misalignment, or knowledge fragility. What’s left behind tells us everything, if we’re willing to listen.
Turnover metrics are the tip of the iceberg. What lies beneath—the unspoken knowledge, the emotional strain, the subtle shifts in trust—is where the real story is told. That’s why I created The Turnover Signal Model™, a systems-based framework that views turnover not as an endpoint, but as a diagnostic opportunity.
The model applies principles from Human and Organizational Performance (HOP) and Multicausal Root Cause Analysis (MRCA) to move away from blame and toward insight. It centers the experiences of the people still there, the ones who feel the impact most deeply. This work isn’t about quick fixes; it’s about providing patterns and frameworks to build a culture that lasts.