Skylar Li
Translate ambiguous user and business problems into task flows, prototypes, design systems, and shippable experiences.把模糊的用户与业务问题，做成任务流、原型、设计系统和能上线的体验。
Profile自我评价
Nearly five years in product and interaction design. I spot where AI can add leverage and turn it into product experiences that are understandable, reviewable, and iterable — closing the loop from problem definition through task-flow design and interactive prototypes to a shipped AI tool.近 5 年产品与交互设计经验，擅长从业务场景中识别 AI 可介入的提效机会，并转化为可理解、可审查、可迭代的产品体验；能完成从问题定义、任务流设计、交互原型到 AI 工具落地的闭环。
Pair quantitative data (NPS, behavioral metrics) with qualitative insight (user interviews, frontline feedback) to locate the real pain behind the numbers and drive iteration.善于结合定量数据（NPS、行为指标）与定性洞察（用户访谈、一线反馈）评估体验，定位数据背后的真实痛点，推动迭代优化。
Drive cross-functional execution — partnering with product, engineering, and algorithm teams to ship; align goals and balance priorities in complex, multi-stakeholder projects so design actually reaches users.具备跨团队推进能力，联合产品、研发、算法将方案落地上线；在多方协作、需求分歧的复杂项目中对齐目标、平衡优先级，确保设计真正交付到用户。
Experience工作经历
Design and prototyping for AI-assisted research tools — building evidence traceability, human-review states, and reusable workflows so AI output can be checked, edited, and reused. Analyze NPS and behavioral data for education and teacher-facing products, translating it into information architecture, task flows, and interaction design.负责 AI 辅助研究工具的设计与原型——搭建证据溯源、人工审查与可复用工作流，让 AI 输出可被检查、编辑、复用；并基于 NPS 与行为数据分析教师端／教育平台，转化为信息架构、任务流与交互方案。
Experience design for Live TV, Game Mode, screensaver, and home page, plus subscription, registration, and payment flows for overseas TV and mobile. Launched 12 core modules with 30%+ usage growth; registration and payment optimization lifted conversion +18% and cut error rate −24%; NPS-driven work improved satisfaction +22% and resolved 38 key experience issues.负责 Live TV、Game Mode、屏保、首页的体验设计，以及海外 TV／移动端的订阅、注册、支付流程。核心模块上线 12 个、使用率提升 30%+；注册／支付优化使转化率 +18%、错误率 −24%；NPS 驱动的体验优化使满意度 +22%、解决关键体验问题 38 条。
Skills相关技能
UX strategy, interaction design, information architecture, user flows, prototyping, design systems, and cross-device experience; competitor analysis, A/B and feature testing; Figma, MasterGo, Axure.产品与交互设计、信息架构、任务流、原型、设计系统、跨设备体验；熟悉竞品分析、A/B 与功能测试；精通 Figma／MasterGo／Axure。
Building AI tool-chains for competitor analysis, data analysis, and report generation; prompt engineering and AI-assisted design/research workflows; Claude Code CLI and Codex for rapid prototyping (vibe coding).面向竞品分析、数据分析与报告生成的 AI 工具链搭建，Prompt 工程与 AI 辅助设计／研究工作流；熟练 Claude Code CLI、Codex，以 Vibe Coding 快速实现原型与工具。
NPS analysis, user interviews, behavior-data analysis, usability diagnosis, A/B testing and SQL basics; fluent professional English — two years of English-taught study at Northeastern and a long-term English working environment at Hisense, covering English meetings and PRD writing.NPS 分析、用户访谈、行为数据分析、可用性诊断、A/B 测试与 SQL 基础；英语可作为工作语言，听说读写流利——东北大学两年全英文授课、海信任职期间长期英文工作环境，胜任英文会议与 PRD 撰写。