SiaSearch is a data management tool for visual AI, mainly for the developers in autonomous driving industry. It helps to explore, understand and share visual data at scale.
MVP Design
UX Strategy
UX design
UI design
Jan 2020 - Oct 2021
50+ screens designed, Design Styleguide
In this stage, I conducted a research on the self-driving car industry and the challenges faced by car companies in utilizing sensor data. I also explored existing solutions in the market and identified areas for improvement. This research informed the design strategy and helped me identify user needs, pain points, and goals.
Based on the research insights, I developed the user experience (UX) design for SiaSearch. I created wireframes, user flows, and prototypes to ensure that the design aligned with the user's needs and preferences. I also worked closely with the technical team to ensure that the design integrated seamlessly with the software's technical capabilities.
In the visual design stage, I created the visual elements of SiaSearch, including the color palette, typography, components library and iconography. I ensured that the design was consistent with the brand identity and created a visual hierarchy to prioritize important information. I also conducted usability testing to ensure that the design was intuitive and user-friendly.