Spotting Burnout Early

Detect employee burnout early with We360.ai Wellness analytics — identify overburdened and underutilized employees using wellness trends.

We360.ai's Wellness module goes beyond productivity metrics — it classifies employees as Healthy, Overburdened, or Underutilized, helping you spot fatigue, overwork, and disengagement before they escalate.

Warning Signs to Watch For

Pattern	What It Signals
Consistently working beyond shift hours	Overload or unmanageable workload
High active time with very high idle spikes	Context-switching and mental fatigue
Drop in productivity score week-over-week	Disengagement or burnout onset
Frequent short breaks and long idle periods	Difficulty concentrating

How to Identify At-Risk Employees

1

Review the Wellness Dashboard

Navigate to the Wellness section in Analytics. The dashboard classifies employees into three categories:

• Healthy — Balanced workload and activity.

• Overburdened — Excessive activity or hours beyond their shift.

• Underutilized — Insufficient engagement or very low activity.

Use the overall score donut chart for a quick snapshot and the trends chart to see how the distribution changes over time.

2

Review the Employee Wellness Table

The day-by-day wellness table shows each employee's wellness status across the month. Look for employees consistently flagged as overburdened — this is the clearest early-warning signal. You can export this data to CSV for further analysis.

3

Take Action

Once at-risk employees are identified, engage managers with concrete data to redistribute workloads, approve leave, or initiate a 1-on-1 conversation. Use the data to inform — not punish.