Case Study 03
RadioCentral
Consolidating Fragmented Workflows Into One Enterprise Platform
Customer & Operational Problem
Radio fleet administrators and technicians were moving across disconnected backend tools to deploy, program, maintain, and monitor devices. The fragmentation increased training burden, slowed work, created inconsistent experiences, and made errors more likely.
- Fragmented tools with inconsistent navigation, terminology, and patterns
- High learning curve for admins and technicians
- Error-prone programming and maintenance workflows
- Limited visibility into fleet status and operational insight
- Little to no analytics to support proactive fleet management
Innovation Opportunity
I championed RadioCentral as a workflow and service transformation initiative — not simply a new interface. The goal was to consolidate fragmented backend tools into a single unified experience that could scale with customer needs, and to build a dedicated capability to sustain it going forward.
My Role
- Established and led a services design capability focused on backend platforms
- Owned end-to-end UX definition for the web application, start to finish
- Partnered closely with engineering on the interaction framework, patterns, and implementation
- Created scalable standards to drive consistency across complex admin experiences
How We Validated It
I directed usability testing across the deployment, programming, and maintenance workflows to reduce cognitive load and prevent high-impact errors before the new patterns rolled out platform-wide.
Product / Business Impact
Platform Consolidation — unified fragmented backend tools into a single scalable web experience.
Streamlined Fleet Workflows — improved end-to-end deployment, programming, and maintenance experiences.
Analytics Introduced — enabled visibility into fleet status and operational insights where none existed before.
Services Design Capability Built — established a dedicated team and operating model for backend platform service design.
This case study uses publicly available information and generalized descriptions. Proprietary visuals, internal metrics, and sensitive implementation details are intentionally omitted.