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.
Jan 2020 - Oct 2021
30+ 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.
Deep-dive workshop
Desk Research
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.
User Flows
low-fi wireframes
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.
UI Visual Design
Hi-fi prototype
Dev handover docs
Dev handover docs