Data-Driven SOC Resourcing: Building a Team Utilisation Model

Here is a slightly revised version incorporating those suggestions. It keeps your excellent core message but refines the wording for maximum impact.

As our SOC team scaled, our reactive approach to scheduling analyst time became a significant bottleneck. Without a data-driven way to measure demand, allocating resources for projects, meetings, and professional development was inefficient and created a risk of analyst burnout.

To solve this, I designed and built a utilisation model that combines:

• Alert volumes enriched with a “level of human triage required” filter

• Incident escalations mapped by hour and day

• Effort metrics based on actual triage, escalation, and remediation data

• A heatmap visualisation to highlight peaks and quieter periods

The result was a clear, actionable picture of workload patterns and peak demand windows. This data now informs our strategic resourcing, strengthens our pricing models, and helps us structure the SOC to better serve our clients.