ROLE
UI/UX designer
TEAM
Product Team & CTO
TIMELINE
2 weeks
TOOLS USED
Figma
About this project
Bit Store is a component discovery platform designed to help users browse, search, and explore reusable learning components known as Bits.
As the platform continued to grow, finding relevant components became increasingly difficult for non-technical users. The goal of this project was to create an intuitive discovery experience that enables educators, authors, and content creators to quickly locate the resources they need while maintaining consistency across desktop and mobile devices.
Design Process
The project began with research into existing component libraries, digital marketplaces, and content discovery platforms. I analysed design system libraries, digital marketplaces, and portfolio browsing experiences to identify common search, filtering, and discovery patterns.
Based on these findings, I explored multiple design directions, testing different approaches to navigation, filtering, and content presentation. The concepts were refined through collaboration with stakeholders before progressing into high-fidelity designs and responsive layouts.

Challenge
As the number of available components continued to grow, users needed a faster way to discover relevant content without requiring technical knowledge of the platform.
Many users were educators, authors, and subject-matter experts rather than developers. Instead of searching by component names or technical categories, they often approached content from their own domain perspective, such as food and drink, health, finance, or language learning.
The challenge was to design a scalable discovery experience that balanced powerful filtering capabilities with a simple and intuitive interface for non-technical users.
Outcome
Delivered three distinct discovery concepts exploring different approaches to navigation, filtering, and content exploration.
The proposed solutions introduced multiple discovery paths, including search, sorting, industry-based categories, and design-pattern filtering, helping non-technical users locate relevant components more efficiently.
The project established a scalable foundation for future growth while improving the overall browsing experience across desktop and mobile devices.


