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Workload Management

Workload management balances assignments across team members by tracking each user’s current assignments, capacity, performance metrics, and availability. It powers the auto-assignment engine used by workflows and templates.

Key metrics

SecureHive tracks six metrics per user:

MetricDescriptionDefault
Active AssignmentsCurrent number of in-progress assignments
Max ConcurrentMaximum assignments a user can handle simultaneously10
Preferred WorkloadOptimal number of assignments5
Completion RatePercentage of assignments completed on time
Average Completion TimeAverage time to complete an assignment (hours)
Overdue AssignmentsNumber of assignments past their due date

Workload status indicators

Utilization is calculated as (Active Assignments / Max Concurrent) × 100%. Each user is assigned a status:

StatusUtilizationMeaning
Available0–50%Has capacity for new assignments
Busy50–70%Working but can take high-priority assignments
Optimal70–90%At preferred workload — assign only if necessary
Overloaded90–100%At or near maximum — should not receive new assignments

Accessing the workload dashboard

Navigate to an audit instance’s Team tab and click Workload, or go directly to Assurance Reviews → Workload Dashboard. The dashboard has three tabs:

Overview — System-wide metrics including total users and assignments, active and completed counts, and average completion rate.

User Workloads — Individual user details showing capacity utilization, performance metrics, and status indicators. Click a user to adjust their workload limits.

Control Assignments — Assignment summary per control test showing role distribution, completion rates, and performance.

Configuring user workload

Select a user

Navigate to Workload Dashboard → User Workloads and click on a user to view their details.

Adjust workload limits

Edit Max Concurrent Assignments (default: 10) and Preferred Workload (default: 5). Recommended ranges by experience level: junior auditors (5–7), senior auditors (10–15), and leads (15–20).

Save changes

Click Save. Changes take effect immediately for new auto-assignments.

How workload affects auto-assignment

When a workflow needs to assign a user, the system filters by capacity (active assignments below maximum), then orders by lowest active assignments (most available) and highest completion rate (best performance), and selects the best available user. Users at maximum capacity are excluded entirely.

Best practices

Set workload limits based on each user’s role and experience. Monitor the dashboard weekly to identify overloaded team members and rebalance assignments. Increase limits for high performers and decrease for users who are struggling. Keep users at their preferred workload when possible to maintain quality and prevent burnout.

Next steps

Workload data is used by workflows for auto-assignment and by assignment templates for filtering users.

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