Summary
Senior UX researcher with 10 years of applied research, including 4 in
industry, and a Ph.D. in Learning Sciences. I build research practices
from scratch, run mixed-methods studies, and turn findings into decisions
that product and content teams act on. I also bring a learning-design
background: before research I spent seven years as a high school CTE
teacher, building seven courses from scratch, and at Indiana University I
designed the workshops for a statewide professional-learning program.
Skills
Research methods: in-depth interviews, moderated and
unmoderated usability testing, focus groups, ethnographic observation,
diary studies, thematic analysis, mixed-methods study design, persona
development, jobs-to-be-done framing, journey mapping.
Quantitative: survey design (Qualtrics expert), behavioral
and product analytics, descriptive statistics, inferential statistics,
A/B-style experimentation.
Data & analytics tooling: Tableau, Tableau Prep,
Python for data work (cleaning, EDA, end-to-end automation), Playwright
for research-data automation.
AI-augmented practice: Claude / Claude Code / Cursor for
research-workflow categorization and synthesis; Python-based AI pipelines
for open-ended feedback categorization with urgency tagging.
Development (AI-augmented): TypeScript, Supabase,
Netlify, GitHub — shipping production features as an AI-augmented
product builder.