Note: This session is a learning opportunity, not a critique of Uber’s work. We understand the complexity and evolving nature of design system adoption—especially at the scale of global products—and are intentionally not inviting Base Design System team members to maintain an unbiased, open learning environment focused on discovery and learning.

Workshop Objectives

Expert-Led Inventory Process: Learn systematic methods for exploring, documenting, and evaluating design system components
Hands-On Experience: Analyze component families and assess adoption patterns across Uber.com and related interfaces in real time
Collaborative Learning: Participate in live voting, Q&A, and structured discussions to share insights with peers
Practical Takeaways: Discover strategies to improve design system scalability, consistency, and usability
Community Resource: Contribute to findings that will be compiled into a shared resource

Who Should Attend

Design System Practitioners working in product-driven organizations
Product Managers exploring adoption challenges and cross-team implementation
Front-End Developers implementing design system components at scale
Design, Product, and Engineering Leaders focused on quality and cohesion in complex product ecosystems

Workshop Format

Guided Component Exploration: Analyze specific component families within the Base Design System
Real-Time Inventory with Infa.ai: Use the Infa.ai extension to document components and identify patterns
Interactive Discussion: Share observations and vote on adoption trends in a constructive environment

What You'll Learn

How to systematically explore and document a large-scale design system
Techniques for identifying component consistency and usage patterns
Strategies to support adoption across distributed product teams
Methods for communicating findings and aligning system evolution

FAQ

Do I need experience with design systems?
No prior experience is required! This session is open to everyone—from beginners to experienced professionals—interested in design systems and their applications.
What tools will I need for the session?
A laptop with Chrome (for the Infa.ai extension), access to FigJam, and a stable internet connection are recommended. Setup instructions will be shared in advance.
Will I get access to Infa.ai's premium features?
Yes! Start a 7-day free trial of Infa.ai anytime. Additionally, check the events page to access a promo code that provides 1 month of PRO version access. This offer will be available 2 days before and after the event.
What if I can't stay for the entire session?
You can always register and join the Infa community on Slack using this invite link. If you are registered for the event, you will receive the session recording by email within 1-2 days.