Defining where AI could improve product selection.
Tasked with exploring how AI could improve product selection, I grounded the exploration in validated user needs and defined principles for evaluating ideas, shaping a direction that combined structured filters with AI-powered selection using nuanced, natural-language concepts.
Giving a growing platform a consistent foundation.
I partnered with a Product Director to turn an MVP of a developer platform into a full-fledged product — defining its core experience architecture and establishing a systems-based design process that developed reusable patterns and components alongside key app experiences.
Designing for Trust in Tax Automation in Japan
I uncovered how familiar verification practices gave Japanese accountants confidence in their work, then designed a tax filing experience that balanced automation with the transparency and control they needed to trust the results.
Creating an International Design Playbook
I led the creation and adoption of practical guidelines for designing globally ready features, ultimately influencing our parent company to incorporate key recommendations into shared design components.
I guided my team to define how users would interact with an AI-powered product selection experience, informed by user research and our understanding of human behavior.
Rethinking Creative Troubleshooting
I drew on user research to reshape product priorities, shifting investment from sophisticated troubleshooting features toward reducing errors, detecting issues earlier, and providing simpler ways to recover.
