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Product Designer · Interaction Design Lab

USER INSIGHTWORKFLOW DESIGNDATA VALIDATIONFocused on AI products, interaction design and product strategy—connecting user insight, workflow design and data validation.

Focused on AI products, interaction design and product strategy—connecting user insight, workflow design and data validation.

02 · About

Connecting user insight, workflow and data validation into one line.

Connecting user insight, workflow and data validation into one line.

Insight first — Define the real problem through user research and scenario breakdown before deciding what to build.

Workflow in practice — Turn a direction into executable workflows, fields and rules—then drive review, configuration and launch.

Validated by data — Test with instrumentation, A/B experiments and staged rollouts, and distill reusable evaluation methods.

About me

I'm Hao Yuan, a Master's student in Art & Design at the School of Design, Shanghai Jiao Tong University (Interaction Design Lab). I work across AI products, interaction design and product strategy, connecting user insight, process design and data evaluation to move solutions into practice.

Experience overview: 03 projects / 02 internships / 01 first-author CCF-A conference paper.

Education

Shanghai Jiao Tong University | School of Design · Master's in Art & Design | 2022.09—2027.03, Interaction Design Lab, advisor: Gu Zhenyu.

Anhui Institute of Information Technology | Digital Media Technology (Computer Science) · B.Eng. | 2016.09—2020.06.

Academic achievement

Academic: first author of one CCF-A conference paper (Ubicomp, 2026).

03 · Work & Experience

Three projects, followed by two internships. Each card states its nature, timeline, working method and result definition.

01 / 05 · DRAG SCROLL

All projects and internships above reflect real experience. Items marked “to be validated” are proposed validation directions, not achieved growth results; 11 / 12 only counts candidate tests that completed the preset key tasks and does not represent a system success rate across all scenarios.

04 · Skills & Experience

Grouped into four stages: product and design, data analysis, AI and prototyping, and validation and evaluation. Language qualifications are included in evaluation.

Product & design

Turning insight into something deliverable: Figma, Xmind, requirement breakdown, PRD, workflow design.

Data analysis

Validating with data: Excel, SQL, instrumentation design, A/B experiment review.

AI & prototyping

On LangGraph, integrating Prompt, Skill, Design System and templates to generate and validate single-file HTML prototypes. Acceptance and QA: Playwright, key-task acceptance, designer blind review, data-quality checks. Languages: CET-6; TOEIC 825/990.

05 · Contact

Interested in talking about AI products,
interaction design or strategy?

For opportunities or collaboration in product design, AI products or product strategy, please get in touch by email.