Julie Mae W.

Skills

Experimental Design: Mixed-methods research, interviews, usability testing, task analysis, journey
mapping, surveys, A/B testing concepts, longitudinal and cohort research
Data Science: SAS, SQL, R, SPSS, learning management systems, statistical modeling, regression,
clustering, time-series analysis, hypothesis testing, causal inference concepts, KPI and metric design, root
cause and signal analysis
Analysis: dashboards, data visualization, funnel and retention analysis, error and drop-off analysis,
executive storytelling and reporting, insight synthesis
Behavioral Science & Systems Design: Behavioral measurement, behavior change modeling,
reinforcement systems, environmental and systems design, behavioral economics concepts, performance
diagnostics, organizational behavior management
Research Operations, Product & Delivery: Agile and Lean methodologies, discovery research,
roadmap influence, requirements translation, acceptance criteria, cross-functional collaboration,
ambiguity navigation, rapid iteration, AI-native research workflows
Tools & Platforms: Figma, Jira, Confluence, Notion, Airtable, Miro, Google/Apple/Microsoft
Workspaces, Excel, Tableau/Looker/Power BI, survey & usability tools

About

Doctorally educated researcher and Board Certified Behavior Analyst with 10+ years of experience
designing, executing, and translating mixed-methods research into high-impact decisions. Expert in
qualitative and quantitative UX research, behavior analytics, experimentation, and performance
diagnostics across healthcare, edtech, AI, and regulated environments. Proven track record of working
directly with high-stakes teams to inform strategy using rigorous behavioral data. Advanced training in
behavioral science, specializing in diagnosing and transforming complex performance datasets into
scalable, measurable systems.