ENTERPRISE UX RESEARCH | HEALTHCARE TECHNOLOGY | PRODUCT STRATEGY

Natalie Chiang

Enterprise UX Researcher focused on healthcare, workflow optimization, and research-driven product strategy.

I translate complex workflows, user pain points, and business goals into actionable research insights that support better product decisions and measurable business impact.

Natalie Chiang headshot

Featured UX Research Projects

Three flagship case studies demonstrating mixed-method research, workflow analysis, heuristic evaluation, usability testing, and research-to-product impact.

About Natalie

I am a UX researcher with experience across enterprise healthcare, education, and learning systems. My work combines research strategy, usability evaluation, stakeholder communication, and evidence-based product recommendations.

Enterprise UX ResearchWorkflow OptimizationResearch-to-Product Impact

Research Methods & Expertise

  • • Enterprise healthcare UX research
  • • Mixed-method research and usability testing
  • • Workflow analysis and journey mapping
  • • Heuristic evaluation and expert review
  • • Stakeholder storytelling and executive communication
  • • Ed.D. in Learning & Instruction

Research Strengths

Workflow Research

Understanding complex operational workflows and identifying friction points across systems, teams, and user journeys.

Usability Evaluation

Planning and conducting usability testing, SUS surveys, heuristic evaluation, and task-based assessments.

Research Storytelling

Translating findings into clear, executive-ready narratives that influence product and design decisions.

Research-to-Product Strategy

Connecting user insights, business risks, and product opportunities to actionable recommendations.

AI-Enhanced Research Practice

I use AI to accelerate research workflows while ensuring research judgment, ethics, and strategic decisions remain human-led.

MY PHILOSOPHY

AI as a Research Accelerator

I view AI as a research accelerator, not a replacement for research. AI helps reduce repetitive work in planning, synthesis, and communication, allowing more time for understanding users, validating findings, and supporting product decisions. The AI tools I use for research include: Microsoft Copilot, Miro AI, NVivo AI, Microsoft Teams AI, and an internal AI bot.

Microsoft Copilot Miro AI NVivo AI Microsoft Teams AI Internal Enterprise AI

MY RESPONSIBILITY

What I Still Own as a Researcher

Research Ethics

I am responsible for protecting participant privacy and ensuring responsible research practices.

Research Interpretation

I evaluate context, nuance, and what findings actually mean.

Strategic Recommendations

I translate research insights into product decisions and business outcomes.

AI supports the workflow. Research judgment remains my responsibility.

Selected Research Impact

$22.6M

Revenue Protected

+500%

Productivity Increase

175M

Touchpoints Analyzed

$20M

Annual Savings

134

Violations Identified

350K+

Residents Impacted