


Enterprise Clients
Operations Leads
Field Agents

Enterprise clients, operations teams, and field agents relied on disconnected tools and manual processes to coordinate job requests. As request volume increased, visibility decreased, creating delays, duplicate effort, and inefficient decision-making. The opportunity was to create a centralized operational platform that could scale with organizational demand.
Agents managed 200+ requests per shift across disconnected systems, making it difficult to prioritize work, maintain visibility, and coordinate effectively at scale.
High request volumes required efficiency at scale
Teams relied on disconnected systems and manual coordination
Dense operational data needed to be quickly understood and acted upon
New workflows needed to align with existing operational processes
Given the volume of requests and limited visibility across teams, I focused on four priorities that would have the greatest operational impact.

Goal: Bring fragmented tools and processes into a single operational platform.
Why it mattered: Reduced duplicate effort and context switching.

Goal: Help agents scan, triage, and act on requests quickly.
Why it mattered: Supported high-volume daily operations.

Goal: Make status, ownership, and priorities immediately visible.
Why it mattered: Reduced uncertainty and missed actions.

Goal: Reflect how requests move from creation through completion.
Why it mattered: Reduced friction between teams and processes.






Direct conversations with agents uncovered friction points that data alone could not reveal.
Dense operational systems require clear hierarchy, prioritization, and scan-friendly patterns.
Small workflow inefficiencies become significant at scale and influence every design decision.
Early stakeholder and user feedback reduced rework and improved adoption of the final solution.
Enhanced workforce planning and availability management
Advanced analytics and reporting for staffing insights
Improved communication and collaboration between agents and departments
Automation of repetitive scheduling and coordination workflows
Expanded support for future operational tools and integrations








