Selected Work · UX Research
Research that takes the risk out of the decisions that matter.
For ten years I've led mixed methods research at Apple: 70+ studies across 15+ enterprise employee experience products, from early strategy through evaluative testing. What keeps me in the work is seeing research influence a decision, a leader's strategy, or a team's roadmap, so the end user is better off, whether they realize it or not.
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Case Studies
AI & Trust Research · 2025
Gauging trust in AI support for sensitive HR topics
A five study program that took a generative AI employee support experience from concept to global launch, mapping the exact boundaries of employee trust in AI with sensitive HR data.
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AI assistant
Live specialistEnterprise Research · 2023–2024
Measuring a major HR platform migration before anyone felt it
Migrations only hurt after launch, when fixes cost the most. We benchmarked the old tools against the new one before launch, found the tasks it made harder, and got them fixed while there was still time.
Read the case studyResearch Operations · 2026–Present
Building a governed AI research platform
A platform that lets any researcher author and publish their own AI research skills, with quality and compliance built into the template, so the team moves faster without giving up the rigor its work depends on.
Read the case studyGATE
Research Enablement · 2026
Standing up a research practice on Apple TV
Four designers were already doing their own research, with limited shared framework or common tools. I built those, along with a process they could keep using, and proved it on a concept test that ran synthetic users before real ones.
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I work where people and technology meet, turning messy human behavior into evidence someone can act on.
Over the past decade at Apple I've led research across enterprise and employee experience, most recently on generative AI and how it's changing the way people work.
I've always been fascinated by how technology and community shape each other. By closely understanding a community, whether local, regional, or global, we can see how a new technology will ripple through it. Technology should enrich people's lives, and when it doesn't, knowing the people it affects is how we catch that early and respond.