Medtech Search Tool
Testing AI search with the people who rely on it daily
Grand Studio2 min read- Supply Chain
- Medtech
- AI/ML
- Role
- UX Research Intern
- Team
- 1 director, 2 associate directors, 1 lead researcher, 1 senior designer, 3 contract designers, 2 research interns
- Timeline
- Jan-Jun 2026
- Tools
- Excel, Miro, Teams
Background
Supporting quality management with AI, one workflow at a time
A major medtech manufacturer was building an AI assistant to help quality teams find and act on records faster across its operating companies. As a UX research intern at Grand Studio, I supported 14 rounds of user testing on this one product, each focused on a different feature, handling note-taking, sorting, and synthesis support. This brief spotlights one round: testing AI search in a live dev environment, where I built a note-taking template and tagging scheme to keep 7 sessions across 4 regions comparable.
The Challenge
Search had to flex for every role, region, and task
One feature of the tool was dynamic search, a highly customized task that varies by experts in different roles across OpCos and regions. With multiple roles and departments relying on the system, the challenge was making search robust and flexible enough to support a wide range of tasks and information needs.
My Role
My role in this research effort was support — not leading sessions or driving synthesis independently. Specifically, I built the team's note-taking system, tagged and organized the resulting data, and shadowed synthesis to help fill gaps.