Yanice Yang

Led end-to-end product design for Umi AI, an app that enhances relationships through recorded conversation analysis

• Defined product flows, information architecture, and interaction models from scratch, translating abstract emotional insights into actionable and user-friendly interfaces
• Collaborated closely with the founders and ML team to align the AI system’s capabilities with user needs, ensuring a warm, supportive, and non-intrusive product tone

Led the end-to-end design of Guidanz, a SaaS that helps technicians diagnose and repair heavy-duty engines, through building functions in web&mobile platforms.

• Designed online diagnostic session by reframing information architecture and introducing side panel feature, resulting in faster issue resolution times in field service operations
• Built a scalable design system from 0 to 1, which reduces design-dev handoff time by 50% and ensured consistency across platforms.
• Conducted on-site user research with certified Cummins technicians, gathering insights that directly informed design iterations and improved task completion rates.
• Reconstructed the calibration installation process by streamlining the user flow and building an intuitive UI, improving task efficiency by 31.2%.

Led the exploration of design strategy and early-stage business use cases for Thunderbit.AI's MVP; partnered with the marketing team to grow DAU from 0 to 5K and supported the product monetization roadmap.

• Drove foundational research on AI productivity tools, including market and competitor analysis, to shape the MVP concept and core functionality within an AI-first product flow.
• Led global expert and user interviews to generate key insights, define core user flows, and shape the product strategy from the ground up.
• Introduced LLM-driven design thinking into UX strategy and implemented early-stage prompt design experiments to validate co-creation scenarios between users and AI agents.

Leveraged cutting-edge design practices to create experiences across both B2B and B2C contexts, such as e-commerce and data management.

• Shipped a live-streamed shopping mobile design (B2C) that drove 100% user satisfaction within 8 weeks.
• Built main user flows for a global data management platform (B2B) by conducting research and incorporating UX strategy with business goals, resulting in a 20% rise in user adoption rates.
• Facilitated cross-team meetings and coached clients and internal teams on Lean UX principles, ensuring timely design delivery.
• Collaborated with UI experts to build the McKinsey Digital design system library, encompassing visual style, 50+ UI components, and 10+ interaction patterns.

Redesigned the onboarding experience of Lark, an all-in-one workspace tool. Led the user research for Lark for School MVP. Updated TikTok Trust & Safety guidelines through data-based user perceptions and expert research.

• Iterated Lark's onboarding and member invitation flows for both mobile and web, increasing new user engagement by 14% through user testing and pain points identification.
• Led the on-site research for Lark for School by conducting quantitative research (surveys) and qualitative research (user interviews, competitive analysis), guiding the optimization of product designs.
• Assessed and refined content moderation strategy by evaluating compliance measures and conducting 30+ global expert interviews and 10K+ user surveys across platforms.

Rebuilt MiFinance, a digital banking service, through iterating on the design of investment features.

• Optimized the account opening process of MiFinance by generating insights from customer feedback. Rebuilt the information architecture of the MiFinance dashboard, improving the user conversion rate by 25%.
• Actively learned financial domain knowledge and regulatory compliance to better incorporate design into the financial experience.
• Collaborated with the brand designer to build the Airstar Bank Global design system.

Led the end to end design of AI-empowered video editing function, to streamline content creator’s workflow, reduce the average video editing time by 65% and gain 100% user satisfaction rate in the beta stage