Leading US health insurance company boosts productivity and saves $1M with Time Doctor
At a glance
A major US health insurance provider offers comprehensive coverage and administrative services to individuals, employers, and public-sector clients.
Operating entirely remotely within the highly regulated healthcare sector, the company faced a challenge: maintaining stringent accuracy and accountability without eroding the trust of its workforce. Yet, without real-time visibility into performance, inefficiencies were costing the business valuable time and money.
Founded
1929
Company Size
1,000+
Location
United States
Work Type
Remote
The challenges
Limited visibility and inconsistent data slowing operational efficiency
Before adopting Time Doctor, the US health insurance company faced persistent challenges in measuring productivity across distributed teams. The company was looking for a performance reporting solution that would not disrupt employees’ workflow, replacing unreliable, self-reported data.
Existing tools, including a homegrown system, produced data inconsistencies, inaccuracies, and blind spots around how work was actually being performed. Without an automated, objective view, leaders struggled to identify bottlenecks or plan resources effectively.
There was also cultural hesitation around adopting a performance analytics platform. Early feedback from employees reflected concerns about privacy and oversight. Without reliable insight, leadership couldn’t quantify productivity losses, but estimates suggested hundreds of thousands of dollars in unproductive time each year.
The solution
Time Doctor: Building trust through transparent and real-time insights
The US health insurance company chose to have Time Doctor operate automatically, so teams could focus on work while leaders gained continuous, unbiased visibility into how time was actually spent. The rollout happened in phases, bringing one department on at a time. Over time, the platform expanded to nearly 400 remote employees, with plans to extend across the entire organization.
The data quickly became essential for understanding performance across teams. They used Time Doctor to surface productivity trends, establish realistic benchmarks for a full shift, and quantify daily capacity. This allowed leaders to spot gaps sooner, set clearer expectations, and guide more focused coaching.
Time Doctor also strengthened workforce planning. Instead of estimating staffing needs, leaders could forecast future workloads based on real productive hours, improving both accuracy and cost efficiency. Today, the company maintains a regular review cycle where the operations team meets with department leaders to discuss trends and address areas that need support.
With a clear governance model in place, the data is used to strengthen performance, help managers lead with clarity, and build trust across teams, not to monitor individuals.
Core benefits
Revealing how meetings impact focus, engagement, and productivity
Once productivity data was standardized, the US health insurance company expanded its use of Time Doctor to uncover new efficiency opportunities, starting with how meetings affected work. By comparing meeting activity with idle time, the operations team gained a clearer picture of when meetings supported meaningful work and when they contributed to disengagement or focus loss.
These insights allowed leaders to rebalance schedules, reduce unnecessary recurring meetings, and protect focus time for analytical and claims work.
The ability to evaluate engagement within meetings, not just attendance, helped shift the organization toward more intentional collaboration and better time management.
I really like the new Meeting Insights report in Time Doctor, whatever wizards you have working on that, they’re doing great work. It’s meaningful, too. It helps us see who’s actually in meetings versus just chatting on Teams, and that kind of insight really matters
Principal Business Operations Advisor
Clear visibility into how time is actually spent
Standardized productivity data gave leaders a reliable view of focus, idle time, and engagement across remote teams.
More focused work through better meeting decisions
By comparing meeting activity with idle time, leaders could see when meetings helped productivity and when they disrupted it.
Intentional collaboration backed by real engagement data
The ability to evaluate engagement within meetings, not just attendance, helped leaders rebalance schedules and encourage more purposeful collaboration.
The results
A Data-Driven culture that increased productivity and saved nearly $1M
Time Doctor helped the US health insurance company move from self-reported estimates to reliable, data-driven visibility. This shift transformed how performance, coaching, and staffing decisions were made across the organization, which led to nearly $1 million in savings.
These improvements were driven by clearer visibility into idle time, better coaching, and more structured conversations between managers and their teams.
Average department performance rose from 69% to 86%, with top teams reaching 88% productive time.
Conclusion
Perhaps the biggest shift for the company was cultural. Employees moved from initial skepticism to viewing Time Doctor as a fair and transparent system that supports clarity, accountability, and professional growth. By replacing uncertainty with clarity, the US health insurance company didn’t just save nearly $1 million, it built a culture where productivity and trust reinforce each other.