
University of Iowa research links remote work to 33% lower energy variability and higher goal progress. Learn how leaders can schedule for steady energy.

On September 2, 2026, the University of Iowa published a research summary detailing the daily energy fluctuations of hybrid workers. The data challenges the widespread focus on total hours worked and overall fatigue. Researchers observed that employees working from home did not experience an increase in their average energy levels. Instead, remote days were associated with significantly steadier hourly energy patterns.
Hourly energy variability was approximately 33 percent lower on remote days compared to office days. The University of Iowa explicitly stated that working from home does not give workers more total energy. However, the study showed that more consistent energy was associated with greater productivity. For leaders managing hybrid teams, this research shifts the focus from sheer stamina to energy continuity.
The University of Iowa presents hybrid work as a possible compromise between employee preferences and employer mandates. Employees generally prefer working from home, while employers often prefer office attendance. This new research provides a nuanced layer to that ongoing negotiation. The findings suggest that where employees work matters less than how the environment affects their energy stability.
The study followed 219 hybrid employees at a single employer over one business week. During this period, participants logged their energy levels hourly across five consecutive workdays. This rigorous methodology produced 4,812 hourly energy observations, according to a research summary reviewed by Quasa. The high volume of data allowed researchers to map the precise rise and fall of employee energy throughout the day.
Emily Campion is an associate professor of management and entrepreneurship at the University of Iowa Tippie College of Business. As a co-author of the study, Campion provided critical context regarding how environments affect focus. She stated that energy fluctuations caused by varied workplace stimuli can make it harder to dig into work and make progress. Campion described task transitions as an explicit energy cost for professionals.
When a coworker interrupts an employee, that person must spend energy switching away from the original task and then returning to it. The researchers proposed that home environments offer employees greater control over such interruptions. Remote workers demonstrated a stronger ability to set their own schedules without spontaneous demands. In contrast, office workers regularly encountered coworker interruptions, ambient noise, and commuting demands.
The Iowa summary distinguishes workplace interruptions from home distractions carefully. It states that office interruptions drain more energy than comparatively controllable home distractions. These office disruptions force constant task switching and fragment the working day. Quasa identified the peer-reviewed record of this research as published online on August 6, 2026, though the University of Iowa summary omits full bibliographic details.
For founders and investors, these findings reframe how we evaluate performance capacity. The primary constraint is often how frequently an executive's attention is disrupted before noon. Cognitive continuity is vital for complex decision preparation, strategy development, and rigorous analysis. The evidence favors measuring steadiness alongside average energy levels and raw output.
Leaders can apply these insights to build a reliable schedule structure for their organizations. A professional whose average energy is unchanged may perform significantly better if their energy does not repeatedly spike and crash. Executives should consider assigning work based on its specific interruption profile. Deep, individual tasks require settings with a lower risk of uncontrolled disruption.
Assigning work by interruption profile rather than by tradition offers a clear structural advantage. Leaders can use lower-interruption settings for complex individual work while using structured virtual time for activities requiring rapid collaboration. This is a practical application of the study's identified mechanisms, allowing teams to protect their focus. Building a predictable framework helps professionals conserve energy for high-leverage decisions.
Leaders should also audit their organizational interruption load carefully. This audit can examine coworker requests, meeting density, notification volume, and ambient noise. Protecting an employee's ability to control interruptions is crucial for maintaining steady mental clarity. By matching task type to the right environment, professionals can protect their limited attention reserves.
Evaluating remote work solely through visible activity or hours online misses the true driver of progress. Managers must recognize that an environment conducive to deep work looks different from an environment designed for collaboration. Providing team members with the autonomy to match their location to their task list is a practical application. This approach supports sustainable daily execution across demanding business cycles.
The research offers precise statistical models linking steady energy directly to daily output. The study linked lower energy variability with greater progress toward daily work goals. Specifically, each one-point reduction in energy variability corresponded to 26 percent higher goal progress within the statistical model. The University of Iowa reported that employees worked faster on home days than on office days.
Quasa reported an additional layer of velocity analysis within these findings. A one-point reduction in energy variability was associated with 31 percent higher goal-progress velocity. The researchers defined this velocity as how quickly employees progressed relative to expectations at the beginning of the day. These figures suggest that reducing volatility is a highly effective way to drive project completion.
A 33 percent drop in energy variability represents a substantial leveling of the typical daily workflow. Treating energy variability as a core operating metric offers a fresh approach to managing long-term performance. It shifts the priority from raw effort to sustained and efficient execution.
ExecuFuel prioritizes clear boundaries around scientific claims. This study followed 219 hybrid employees at just one employer over five consecutive workdays. Therefore, the observation period limits what can be concluded about long-term fatigue, seasonal workload changes, or repeated remote-work cycles. The available search results did not provide the full article, its complete statistical tables, or the specific occupations of the participants.
The reported 26 percent and 31 percent figures are model-based associations, not guaranteed individual performance improvements. They do not prove that working from home directly caused the productivity difference. Employees might have selected home days for different types of work or lighter overall workloads. Furthermore, a 33 percent reduction in variability does not mean employees worked 33 percent longer or produced 33 percent more output.
The evidence does not show that all office work is harmful or that all home environments are distraction-free. The Iowa summary specifically frames the advantage as greater control over disruptions. This level of control may also be achievable in well-designed office spaces.
There are also meaningful social trade-offs to consider when designing remote schedules. A separate report summarized by Science of Money examined what remote work removes from the professional experience. That report noted remote days were associated with less coworker small talk, lower relational energy, and lower belongingness. This adjacent evidence matters because a schedule built for uninterrupted individual output may not support recognition, mentoring, or team cohesion.
The Science of Money report indicated that recurring virtual check-ins mitigated some of these effects. These structured rituals reduced the remote-day decline in small-talk interactions and relational energy. However, they did not eliminate the deficit entirely. Leaders must weigh the benefits of steady energy against the potential costs to social infrastructure.
As organizations refine their hybrid policies, the focus will likely shift toward highly differentiated scheduling models. We expect forward-thinking leaders to adopt a pilot-and-measure approach before implementing sweeping, company-wide changes. Managers might soon track goal progress, completion velocity, interruption frequency, and team-connection indicators across different locations. This data-driven strategy will help align work environments with the actual demands of specific tasks.
The future of work relies on balancing individual focus with collective belonging. Organizations will likely protect remote time for deep, interruption-sensitive work. Concurrently, they will deliberately design office days for collaboration, mentoring, and relational energy building. Observing how companies measure and manage these trade-offs will be essential for those invested in recovery and readiness.
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