I uncover the emotional, cognitive, and contextual patterns behind product behavior.

I use psychology-informed UX research to understand how people interpret information, navigate uncertainty, build confidence, and make decisions within complex product experiences.

A research practice shaped by psychology, design, and behavioral nuance

I bring 15 years of design and research experience across product, advertising, and platform experience. My foundation in industrial design helps me think systemically, while my psychology training helps me understand behavior, emotion, motivation, identity, and decision-making at a deeper level.

I specialize in bringing clarity to ambiguous, cross-functional questions — from framing the problem and designing the right research approach to synthesizing insights into frameworks that guide confident product decisions.

My perspective is shaped by moving between cultures, languages, and disciplines. Originally from Taiwan and trained in design and psychology in the United States, I bring a bilingual, cross-cultural lens to research — one that helps me notice how identity, context, and communication patterns influence product behavior.

Where emotional, cognitive, and contextual insight meets product strategy

UX Research Strategy

Frame ambiguous product questions, identify research opportunities, and translate findings into clear product direction.

Psychology-Informed Insight

Apply psychological lenses to understand motivation, perception, decision-making, emotional friction, and behavior change.

Mixed Methods Research

Combine interviews, surveys, usability testing, card sorting, concept testing, behavioral data, and synthesis frameworks.

Human-Centered Facilitation

Design workshops that help cross-functional teams align, prioritize, and move from raw insight to action.

01

AI recommendation tool

How I research AI-assisted workflows in complex B2B products

AI-assisted workflows · B2B research · Use case prioritization

Used an AI recommendation tool for media planners as a case study to show how I identify high-friction decision points, prioritize AI use cases, and shape product direction for complex B2B workflows.

02

ACE™ retail product selector

Helping people make confident wellness decisions in moments of uncertainty

Consumer health and wellness · Journey mapping · Concept testing

Designed and tested a guided retail product selector for ACE™, helping shoppers understand their needs, compare wellness products, and make more confident purchase decisions.

03

Focus groups and recurring feedback

Turning recurring user feedback into product insight over time

Focus groups · Feedback synthesis · Semiannual research newsletter

Built a recurring voice-of-user practice by facilitating focus groups, synthesizing feedback patterns, and writing a semiannual newsletter to help teams understand user perception over time.

From ambiguity to alignment

My process is designed to help teams move from scattered questions to shared understanding, then from insight to action.

01

Frame the problem

02

Choose the right method

03

Listen for patterns

04

Translate insight

05

Align stakeholders

06

Measure change

Research methods I use

My work blends qualitative depth with quantitative structure. This visual shows how my research practice is typically distributed across methods, with the strongest emphasis on direct user learning, evaluative testing, and pattern finding.

A custom view of my research practice
across qualitative and quantitative methods.
User interviews and focus groups Understanding needs, language, uncertainty, and decision context.
25%
Usability and concept testing Evaluating whether ideas feel useful, understandable, and trustworthy.
25%
Survey design and quantitative analysis Identifying broader patterns and prioritizing opportunities at scale.
20%
Journey mapping and workflow synthesis Making complexity visible across moments, decisions, and task flows.
15%
Workshops and stakeholder alignment Turning insights into shared direction and actionable product conversations.
10%
Heuristic and expert evaluations Using structured expert review to identify friction and opportunity areas.
5%

Research that reveals why people behave the way they do — and what product teams can do with that understanding.

I work best with teams that care about depth, clarity, and making product decisions with empathy and evidence.

Let’s connect →