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