Designing a smarter GenAI workflow for AI developers
Led UX research and product design to reshape how data scientists and developers create GenAI projects inside an enterprise AI platform.
•UX Designer
Figma
Miro
The challenge
A global tech company wanted to add GenAI capabilities to its AI development platform. But the brief was vague. It started as a paid add-on bolted onto the side. Nobody was clear on who the primary users were, how technical they'd be, or how a new partner integration should fit in. We had 12 weeks to figure it out.
The solution
Through research and iteration, we reframed the whole approach. Instead of a separate add-on, GenAI became a core part of the platform's project creation flow, built around curated templates users could customise. We designed a new template selection screen, a streamlined setup panel, and integrated a third-party evaluation tool in a way that made sense to users. The product ended up somewhere very different from where it started.
My role
I was one of the designers across research, design, and testing. I ran user interviews and usability tests with data scientists and developers, led competitor analysis, created user flows, and iterated wireframes through three major design proposals. Across the project we spoke with 32 international data scientists and AI developers.
The impact
What started as a separate paid extension became an embedded feature of the core platform. The research surfaced 12 key insights that shaped every design decision, from simplifying project creation to rethinking how technical language was used across the UI. The final designs were handed off with a clear roadmap for development and future features.
Key takeaway
Sometimes the most valuable design work isn't about the interface. It's about helping a team figure out what the product actually is before building it.
