RISK FACTOR
This project focused on designing an interactive map experience that could support nationwide property coverage while remaining fast, clear, and approachable for non-expert users. I led the UX and interaction design for core map workflows, address search, property selection, and risk visualization, ensuring the experience scaled across millions of parcels without sacrificing clarity or performance.
Executive Summary
The existing map experience made it difficult for users to confidently locate and understand property-level risk at scale. I led the redesign of map interactions, address search flows, and visual hierarchy to reduce ambiguity, improve usability, and support clearer decision-making across millions of properties.
Identifying Issues &
Designing Solutions
As coverage expanded nationwide, several usability challenges emerged around address accuracy, property selection, and map clarity. Users often encountered ambiguous search results, overlapping parcels, and dense map layers that made it difficult to identify the correct property and understand risk at a glance.
Fast-Track Design by Identifying and
Understanding Tool Gaps
To move quickly and reduce risk, we identified gaps in the existing map tooling and interaction patterns. Early exploration focused on validating how users searched for addresses, interpreted map feedback, and resolved uncertainty before committing to a property view.
Address Search & Property Disambiguation
Notifications
Popups
Banners
We Explored How to Notify Users of Address Search Issues
Early testing revealed that address searches often returned incomplete, ambiguous, or imprecise results, especially in rural or densely parcelled areas. We explored ways to proactively notify users when a search result required clarification, using clear messaging and visual cues to set expectations before users interacted with the map.
Representative explorations showing how the system surfaces search ambiguity and guides users toward confirmation.
Property Selection & Disambiguation
Selection States
Boundary Comparison
Error Prevention
Helping Users Select the Correct Property
Once an address was located, users still needed to confidently identify the correct parcel among nearby properties. We designed interaction patterns that allowed users to compare boundaries, highlight selections, and confirm their choice directly on the map, reducing errors and increasing confidence before moving deeper into risk data.
Scaling Map Interactions Nationwide
Zoom-Level Logic
State Consistency
Performance Optimization
Standardizing Map Interactions for Scale
As coverage expanded to millions of properties, consistency became critical. We standardized map interactions, selection states, and visual feedback to ensure the experience behaved predictably across regions, parcel densities, and zoom levels—while maintaining performance and clarity.
Results & Impact
Clear Hierarchy
Consistent Patterns
Progressive Disclosure
Measurable Impact on
Engagement & Conversion
The redesigned product detail experience improved how users understood and acted on complex climate risk data. Clearer hierarchy, progressive disclosure, and more actionable summaries reduced friction in the decision-making flow and directly contributed to stronger engagement and conversion outcomes.
These changes established a scalable interaction model that continues to support new regions, data layers, and use cases.