An early AI/ML concept for a data platform, transformed from raw ideas into a structured, testable product direction with prototypes and a scalable design system.
Lead Product Designer — I ran design sprints, defined the information architecture, built prototypes and established a design system to guide development.
Impact — The concept launched faster than projected; early adoption validated the direction. The design system supported quicker iteration and improved alignment across teams.
I designed a component system and pattern library that kept layouts consistent across diverse data views and use cases. This foundation ensured teams could build quickly without sacrificing coherence.
The UI framework was highly modular and adaptable, supporting a wide range of data visualization needs while staying true to the product’s utilitarian essence.
Designed like a neural network, the interface routes every tweak through layered nodes that re-weight what matters. As users adjust queries, activations ripple forward and results update in real time, keeping exploration continuous, responsive and effortless.
The assistant interface balances depth and usability. It delivered advanced functionality without overwhelming users, making large-scale data interaction feel approachable.
The concept evolved into a high-quality experience that reduced development time and validated its direction through early adoption. It showed how designing for speed and usability can turn early AI/ML concepts into practical tools.