Case Study: AI Product Design + Build
AI-Powered Architectural Review Engine
Problem: HOAs rely on manual, inconsistent architectural review — costing homeowners weeks of wait time and $100–125 per household annually in delays and disputes
What I led: Designed and built a production-grade RAG-based compliance engine end-to-end — covering product strategy, UX, prompt engineering, evaluation, and deployment using AI-assisted development.
Outcome: A fully shipped POC with 100% status accuracy, 100% citation accuracy, with no engineering team required.
RAG ARCHITECTURE • RESPONSIBLE AI GOVERNANCE • SOLO AI BUILD
Case Study: 0→1 MVP
Transforming At-Home Oral Health
Problem: A new at-home saliva test needed a clear MVP and an app experience that builds confidence in sampling and results.
What I led: Executive alignment + prototype-first discovery to define workflow-driven mobile flows and guided computer vision capture.
Outcome: Pilot-ready end-to-end experience that reduced user error and accelerated investor and clinical validation conversations.
MVP DEFINITION • COMPUTER VISION GUIDANCE • RAPID PROTOTYPING
Case Study: Human-Centered AI
Generative AI for Teaching & Learning
Problem: Schools needed GenAI that fits real educator workflows, without “generic chatbot” adoption issues or safety risk.
What I led: Designed workflow-native tools (lesson planning, feedback, IEP support) plus a student StudyBuddy, with guardrails from day one.
Outcome: District-validated prototypes that embedded day-one educator value with privacy, transparency, and human-in-the-loop trust built in from the start — designed for real adoption, not novelty.
HUMAN-CENTERED AI • WORKFLOW-DRIVEN TOOLS • GUARDRAILS BY DESIGN
Case Study: Experience Modernization
Elevating Experience at a 5M+ Member Health Plan
Problem: Fragmented touchpoints and slow release cycles made it hard to deliver an "easiest healthcare experience — everywhere, every time" for its members.
What I led: Established a journey-led Design Center — leading product vision and design for cost/Rx transparency tools, a modernized mobile roadmap, and an accessibility-compliant design system.
Outcome: +54% engagement; +25% user satisfaction; +50% mobile use in 6 months; +37% annual health assessment completion; 4.5★ iOS app experience; Rx cost tool delivered high value (63% “most important” / 81% satisfaction)
JOURNEY-LED ROADMAPS • COST & RX TRANSPARENCY • CONTINUOUS IMPROVEMENT
Case Study: Human-in-the-Loop ML
Human-Centered Workflows Improve AI/ML Fraud Mitigation
Problem: A community college system with 100+ colleges needed a faster, more trusted way to triage suspicious applications.
What I led: Redesigned analyst-first workflows and shaped a two-tiered roadmap that strengthened the UI→ML feedback loop — improving both human decision confidence and model accuracy over time.
Outcome: A validated, modernized triage experience that improves analyst speed and decision confidence while feeding better signal back to the model.
ANALYST-FIRST TRIAGE • TRUSTWORTHY RISK SIGNALS • VIRTUOUS FEEDBACK LOOP
What I Bring to Your Team
Open to VP/Head of Product & Experience roles and selective advisory engagements
Strategic Product Leadership
I turn ambiguity into clear vision, priorities, and roadmaps - connect user needs with business objectives, translating insights into actionable product strategies that drive growth.
Cross-Functional Builder
I align product, design, engineering, and executives around shared goals—facilitating workshops and decisions that shorten time-to-value.
Human-Centered AI & Innovation
I design workflow-driven AI that augments people (not replaces them)—with privacy, transparency, and human-in-the-loop baked in.
Deep User Empathy
Passion for crafting meaningful experiences that solve real problems and delight users at every touchpoint.
Hi, I'm Doris Mao Lin