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Shuishi Fang
Senior UX Engineer specializing in AI-native workflows and design-to-dev automation
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About
UX/product designer in a medical laboratory B2B portal context who prototypes beyond Figma—built a GPT-based settings chatbot to address findability and low settings adoption, iterating through 11 tested versions with regression safeguards and structured prompts to mitigate instruction truncation/hallucinations. Also redesigned clinic order management by separating doctor vs assistant experiences and introducing step-based status views for a long, multi-stage lab order lifecycle; former full-stack engineer who improves design-to-dev handoffs via templates and readiness rituals.
Experience
Education
Key Strengths
- Rapid iteration: built 11 viable GPT chatbot versions with regression coverage in ~20 hours (as a side project)
- Data-driven UX problem framing (identified ~1% settings adoption; set 90% task success goal for conversational flow)
- Strong usability research rigor (sample sizing, hypotheses, counterbalancing, think-aloud; measures task success, SUS, lostness, task time)
- Deep workflow modeling in healthcare/lab domain (provider portal settings; clinic order lifecycle/status complexity)
- Persona/role segmentation to resolve conflicting IA needs (doctor vs clinic assistant interfaces)
- Step-based information design to surface context-relevant status details while keeping lists scannable/compact
- Bridges design and engineering (former full-stack engineer; comfortable with React/HTML/CSS/TypeScript/PHP/APIs/Auth)
- Design ops leadership: created design readiness 'deploy form' and centralized Figma documentation to improve dev handoff
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