Progressive Insurance
Trip Viewer Telemetrics
IoT / Web App / Predictive AI
Role
UX Research Lead
UI Design Lead
Work
Product research and discovery
Research synthesis
UI design and prototype
Process and flow design
Key Product Takeaways
Seamlessly integrated Angular app
Aggregates IoT data
Predictive modeling flags potential loss events
Identifies travel patterns
Google Maps API integration
Custom document sharing improves collaboration
Reduces claim resolution time
Product Summary
The Problem
Insurance representatives lacked complete, reliable information during the claims process.
Real-time travel data was underutilized and difficult to interpret.
Sharing critical data between business units was manual, slow, and error-prone.
UX Considerations
Ensure full accessibility, including support for keyboard navigation and screen readers.
Deliver accurate, trustworthy data that enables reps to make confident decisions.
Explore the role of predictive modeling to surface intelligent, time-saving insights.
Outcomes
Claims investigations became faster and more efficient with reliable, enriched data.
Users could explore the specific data most relevant to their role and case needs.
Sharing and customizing reports between stakeholders became seamless and intuitive.
Ways we learned
Generative / Evaluative
1:1 interviews
Sit withs
Heuristic/WCAG analysis
Proof of concept
Moderated testing
Group Feedback
Design workshops
Prototype demos
Polling
1:1 testing
Focus groups
Synthesis
Personas
Flow mapping
Pain point mapping
Prioritized user wants / needs