Industry
Transportation
Client
Zoox
Client
Locked
Project Type
Internal
Status
Launched
Date
May 14, 2024
My Role
UI Design, UX Design, User Research, Front-end Prototyping
Core Team
1 Engineer Manager, 1 Software Engineer, 1 Design Manager, 1 UX Designer (Self), 10 Stakeholders
Vehicle Issue Tracking App. New Way to Empower Map Operations.
Context & Problem
As autonomous vehicle fleets scaled across dense urban environments, mapping and operations teams needed to triage real-time, location-based issues across multiple cities. Existing workflows made it difficult to quickly understand priority, ownership, and context within dense geospatial data, slowing response times and increasing operational friction in time-sensitive scenarios.
My Role
Led end-to-end UX for the mapping triage experience, including research, workflow definition, prototyping, and close collaboration with engineering through implementation.
Constraints & Key Decisions
The system needed to support real-time geospatial data, multiple user roles, and high performance at scale. Rather than introducing automation prematurely, I prioritized clear manual workflows—map-first triage, bulk actions, and explicit routing—to unblock teams while learning which signals mattered most.
Why These Decisions
To reduce cognitive load and speed adoption, the interface followed familiar mapping patterns from tools like Google MyMaps and other geospatial software. Workflows were separated into clear pages, while side panels surfaced detailed, actionable information when a location pin was selected—allowing users to investigate and resolve issues without losing spatial context.
Designs
Solution & Impact
The launch of the tool led to an 80% reduction in duplicate issues, reducing noise and accelerating operational decision-making.
Delivered a map-based vehicle issue tracker that surfaced high-signal issue context, enabled teams to block off problematic areas, and supported fast rerouting—helping fleet operations proactively avoid unsafe zones and maintain safe, reliable customer rides in real time.
Key Learnings and Next Steps
