Robinhood Internal Tool
Company
Robinhood
Year
2021-2022
Role
Design System Designer
Introduction
At Robinhood, I took on the challenge of developing machine learning tools to enhance the efficiency of the Security, Anti-fraud, and Privacy teams. My goal was also to improve the user experience for both existing and new products by integrating design thinking into our processes. This included conducting survey-based research and creating user-centered designs based on behavioral insights.
Process
I deconstructed the grid system into its atomic elements, ensuring each component was reusable and consistent. This approach facilitated a flexible and scalable design system that could be easily maintained and updated across different applications.
Key Design Decisions
We adopted a user-centric approach, incorporating feedback to directly address pain points. Accessibility best practices were integrated to ensure usability for all users, including those with disabilities. Emphasizing consistency and cohesion, we created a design language familiar across all applications, reducing the learning curve and improving usability.
Performance Optimization
User feedback highlighted a lag when swapping components, traced back to increased file size. Leveraging Figma's new local variable library feature allowed us to store raw and reusable values efficiently. This optimization reduced the file size significantly while maintaining all functionalities, resulting in a smoother user experience.
Conclusion
The redesigned grid system was met with positive feedback from users, who appreciated the standardized functionalities and seamless experience across applications. The successful resolution of performance issues demonstrated our commitment to high-quality user experiences. This project not only enhanced user satisfaction but also established a robust and scalable framework for future design initiatives at FactSet, setting a new standard for application design through innovative and user-centric solutions.