As workspaces get flooded with dashboards and productivity tools, Bradley Killinger believes most leaders still can’t answer a basic question: What’s actually happening at work, and who is being overworked? As CEO of Sapience Analytics, Killinger is addressing this blind spot with hard data.
“A very real and significant challenge facing senior executives right now is determining which associates have capacity to take on more, and who might be at their absolute breaking point and at risk for burnout or even leaving the organization.”
Through Sapience Vue, their platform surfaces patterns of excessive or prolonged work, enabling leaders to spot employees who may be overwhelmed before problems escalate. “Sapience Vue helps executives… [identify] employees determined as having prolonged, excessive work patterns,” Killinger explained in a recent interview. Rather than relying on surveys or assumptions, Vue provides objective, real-time visibility that allows managers to rebalance workloads.
Killinger also leads Sapience at a time when a hybrid office structure is no longer an experiment but a divisive reality. Killinger and his team offer a data-driven alternative that provides insights into where employees are working, without relying on invasive methods like badge swipes.
In 2024, global employee engagement fell from 23% to 21%, according to Gallup, matching the drop seen during the height of the COVID-19 pandemic. The sharpest declines were among managers, particularly young and female leaders, highlighting the strain on those responsible for motivating teams during ongoing structural and technological disruptions. “If manager engagement continues to decline, it won’t stop with managers, and it won’t stop with engagement. The productivity of the world’s workplace is at risk,” the report said.
It’s precisely this lack of visibility into day-to-day workloads that Sapience aims to address. Under Killinger’s leadership, the company has grown into a global SaaS platform that has analyzed over 1 trillion hours of work across more than 90 companies in 18 countries.
Amid AI reshaping labor and generational tensions redefining workplace norms, Killinger believes visibility into how work is done will be essential. “The data generated from these AI interactions will become crucial for organizations to understand AI’s impact on their operations, necessary skill sets, and training needs,” he noted.
