Slashed tech debt

Several product teams were building complex, interrelated data models to power both the product UI and a new generation of AI agents at a Fortune 500 company. The agents depended on that data model content — names and descriptions for hundreds of fields — to understand customer data and act on it. But the existing workflow gave data model content only a brief review window. That wasn’t enough time for the iterative, cross-functional work that clear, AI-ready content requires. I redesigned the review workflow so we could vet the content without putting the release date at risk. The result was a 15% ongoing cut in technical debt and rework, freeing the team to pull more from the backlog.

Lifted productivity and usability with a UX reference

A department of writers at a Fortune 500 company had no shared reference for routine UX writing questions. UI labels often didn’t align with the brand or industry standards. These problems made for a muddy UI, hampering product adoption and leading to unnecessary customer cases and backlog work. Applying proven methodology, I designed a standards system that captured years of tribal knowledge in an easy-to-use reference. The standards eliminated bottlenecks; improved products by aligning them with the company’s brand, design system, industry conventions, and cognitive psychology principles; and freed time for teams to focus on work that boosted growth and adoption. Results included a 20% productivity boost and usability improvement of up to 15%.