Workload Balance - Trends

Workload balance varies over time and this is natural for any business throughout its annual cycle. Understanding the composition of burnout risk over time helps managers better understand where greater systemic balance problems may occur (allocation of work, insufficient labor strategy, etc.) versus short-term imbalances (project deadlines, sales goals).

Key Questions:


Is my team beginning to burnout?

Workload balance can shift in a single week due to short-term business demands. It is important to see that individuals at risk of burnout are only at risk for a short period of time before the risk diffuses. Observe these trends to ensure that employees do not remain at medium and high-risk levels over time. This is where disengagement, negative culture, and attrition risks take over.

With the new support provided (i.e., new technology, additional headcount, revised responsibilities), have I decreased risk?

When introducing additional support to mitigate burnout (i.e., coaching, break times, off-hours, etc.), observe in the trends analysis whether it is making the intended impact on burnout risk levels.

How often is the team at their desk? working off-hours?

Time behind the screen, regardless of activity type, contributes to burnout. Time behind the screen depletes employees of energy and time doing other things in their lives. Manage these numbers and leverage them as indicators for what could be leading to burnout.



A. Utilization Levels Trend showcases the number of low, medium, high employees at risk of burnout. Using the configurations at the top, set the thresholds to better define what is likely to constitute burnout risk within a team. The trend analysis is especially useful when looking to quickly identify whether burnout is increasing or decreasing across the organization over time. 

Productivity Lab Tip

While your overall bar sizes may decrease, your high-risk burnouts could be increasing. Track the numbers in your medium and high risk over time and take action when they trend upward.



B. Working Hours Trend

  • Days Working Off Hours/User vs. Average: Days working off-hours, or hours outside of the pre-set schedule (under Settings -> Scheduling) provide potential indicators of burnout. The average provides an indicator to understand the typical behaviors of the team over the defined period of time. Each bar shows an average behavior across the team.
  • Off Hours/User by Day of Week: Monday through Friday data points are useful in understanding when off hours are likely to happen. Use this chart to understand when employees are potentially feeling the pressure to put additional work hours into their day.

Productivity Lab Tip

All-time contributes to burnout-- productive and unproductive. That’s why we care to understand both. 

  • Active Hrs / User / Day vs. Average: Average Active Hours can vary on a weekly basis. For further insight into burnout contributors, consult this chart to understand the average number of hours an employee is at their computer on a daily basis each week. The average highlights where large deviations may exist across individuals.  
  • Active Hrs / User by Day of Week: Understanding habits throughout the week can showcase whether employees are more likely to frontload their work, distribute it, or save it until the end. Managers should encourage an even distribution of active hours from Monday to Friday. 

Productivity Lab Tip

Off Hours and Long Hours are major contributors to burnout. By looking at patterns throughout the week, you can chat with your team about how to better spread workloads to avoid early week burnout contributors.

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