2022–current
Full case study coming soon, currently in progress…
Helping users understand and trust an AI assistant in their very first minutes, and guiding them smoothly from sign-up to real value.
Reimagined onboarding around conversation-based UX, making it feel natural and accessible
Conducted interviews to uncover blockers in user understanding and trust
Increased registration conversion from 33% to 58%, and onboarding completion (6-step wizard) to 91%
Improved Trial-to-Paid conversion to 21% by simplifying flows and messaging
Built a design system to scale and align cross-functional work
Worked closely with PMs and engineers to balance speed, clarity, and usability
At Inita, an AI-powered platform helping small businesses create and manage their online presence, I redesigned key product flows to support natural language interaction and drive growth.
What I learned at Inita:
Working on Inita pushed me to grow as a product thinker. I had to move fast, build from scratch, and help the team understand how to design with AI. Here’s what I learned along the way.
Designing for AI means rethinking the user journey:
It’s not about showing features — it’s about helping people trust the assistant and understand what it can do. We had to make the AI feel both useful and safe.
Good onboarding is about clarity, not steps:
I redesigned it 5 times based on user interviews. The final version helped users act quickly and see real value — and it worked.
Speed is fine — if you have the right system:
We shipped fast, but with structure. I built a design system early to keep things consistent and help the team move faster.