NIO is an emerging electric vehicle brand. During my time there, I primarily focused on enhancing the design of the vehicle settings pages, which are highly complex and encompass a wide range of hardware, software, and driving settings. My role involved improving the scalability of UI components for global languages, including English, German, and Arabic, as well as optimizing the user experience by refining the information architecture. I worked closely with brand designers, researchers, product managers, and teams across China and Europe.
While I can’t share details due to an NDA, I would be happy to discuss some of the insights and learning I’ve gained—feel free to reach out!
A glimpse of things that I've worked on 👇
Deign System - UI components for global languages
The vehicle settings interfaces were originally designed for the Chinese language, which is more concise than Western languages. When translated into English and German, many UI components faced issues such as spacing and alignment, which directly affected readability and usability. I evaluated the UI components and designed them to improve compatibility across multiple languages while ensuring system scalability.
Information Architecture Improvements - User tests to gain insights and build foundation for future product expansion
The vehicle settings pages contain over 130 different settings, categorized into various groups. However, deciding on the appropriate classification principle posed a challenge—should the settings be classified based on hardware and objects, or by functions and features? Establishing a clear classification principle and information architecture is essential to help users navigate the system quickly and efficiently and ensure the product consistency and scalability in the future.
I participated in an information architecture improvement project where we conducted card sorting tests with over 130 settings and gathered feedback from more than 200 participants. We analyzed the data, consolidated insights, and developed principles for future product IA development.