Tracking Privacy at Scale
As UX Designer for the U.S. Higher Education Research Observatory project, I designed the interface for a nationwide tool tracking historical privacy policy changes across 250+ U.S. institutions, powered by the Internet Archive's Wayback Machine.
Through redesigned navigation and information architecture, I lowered search time by 15% and helped the team resolve usability concerns 30% faster through collaborative weekly stakeholder meetings.
Researchers had no easy way to search, filter, or compare how university privacy policies and how people's information is being used.
Design a clear, map-driven interface for searching, filtering, and comparing 250+ institutions' archived privacy policies along with AI generated change summaries.
From flowchart to full platform
Mapped out the ideal search-and-filter journey first, then built toward a data-rich, map-driven interface researchers could trust.
Mapped the full user flow to align goals before any UI work began. The user flow included: landing, search, filter by state/university/timeframe, results, saving, and export.
Designed a landing page that explains the tool's value quickly, covering Search, Archive Viewer, and AI-Powered Analysis, with role-based onboarding.
Used FigmaMake to designed navigation and information architecture around an interactive U.S. map, letting researchers browse all 250+ institutions at a glance.
Iterated on filtering by state, university type, and timeframe, cutting the average search time by 15% in usability testing.
Ran weekly meetings with the project manager, resolving usability concerns 30% faster through tight design-feedback loops.
Shipped a timeline-based policy viewer with AI-generated summaries, highlighting added, removed, and modified privacy policies of over 250 universities year over year.
Faster search. Clearer answers.
This project sharpened how I design for research-driven audiences, balancing a map-first interface with an AI layer to make online privacy policy information more accessible.
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