Amazon Relay is a mobile app used by commercial drivers to move Amazon freight. While the app supported general navigation, it wasn’t optimized for the needs of truck drivers, particularly around safety-critical factors like legal routing and bridge height compliance.
This gap created real-world risks. Drivers were sometimes routed down restricted roads or under low-clearance bridges, which led to frustration, delays, and potential safety incidents. Leadership prioritized a rapid redesign of the in-app navigation flow to address these risks and rebuild trust with Relay’s driver community.
Early concept sketches exploring legal routing, exception handling, and driver task flows. These helped surface edge cases and safety-critical decision points early in the process.
Led UX strategy and execution for a commercial truck navigation experience
Defined product requirements and aligned cross-functionally with product, engineering, and design
Conducted in-field testing with drivers during live check-in/check-out at Amazon facilities
Collaborated with engineering to understand mapping constraints and deliver on an executive-set timeline
Worked with legal to ensure routing aligned with federal and state transport laws
Just two weeks to research, design, and deliver a functioning MLP
Real-world stakes involving safety and driver trust
3rd-party mapping vendor imposed technical limitations throughout the project.
Limited documentation on the Now Maps API, plus a partially available PM
Key UI moments supporting safe routing decisions, vehicle setup, and trip transitions — all designed to reduce driver uncertainty and align with legal requirements.
Delivered a truck-specific navigation feature that launched to broad usage on day one
Helped reduce risk of low-bridge incidents by supporting safer, legal routing
Feature remains live and core to the Amazon Relay experience today
Met a high-priority executive deadline while balancing limited PM support and tight tech constraints
End-to-end navigation flow showing how legal constraints, task switching, and real-world route logic were handled across the full driver experience.
View the FigJam
Reviewed Google Maps, Apple Maps, and truck-specific tools to identify relevant UX patterns
Conducted in-person validation sessions with drivers at an Amazon Fulfillment Center
Focused on what information drivers needed most during routes, like stop previews and legal guidance
Worked around limited API documentation and unclear technical limitations
PM was often unavailable, requiring me to drive alignment and prioritization independently
Scoped and delivered a minimum lovable product while advocating for user-critical features
Created and delivered high-fidelity flows for both Android and iOS platforms
Introduced truck-specific visuals, stop previews, and safer routing cues
Partnered closely with developers to ensure feasibility, consistency, and timely execution
