Sleeper Current
Conducting mixed-methods user research, UX QA reviews, and competitor benchmarking for a sports platform with over 4M users. Led usability testing for a League Import Chrome Extension that successfully onboarded nearly 10,000 users from competing platforms. Analyzed behavioral data in Amplitude and ran in-app/push A/B tests in Braze to boost engagement, while leveraging AI workflows (Claude) to accelerate research synthesis and insight delivery.
Dutch Pet inc.
Supported UX and consumer research that informed product, service, and CX decisions. Worked on survey design, qualitative interviews, and research analysis to identify patterns in user needs and behaviors. Translated findings into insights that guided improvements in how people navigate, understand, and interact with a digital veterinary care platform.
Shearer's Foods
Designed and executed a mixed-methods study, including survey development, qualitative interviews, and quantitative analyses to identify distinct customer segments by needs, behaviors, and purchase patterns. Synthesized findings into data-driven insights, translating statistical results and consumer themes into executive-ready recommendations for senior stakeholders.
Procter & Gamble
Conducted mixed-methods UX research with cross-functional student teams, integrating qualitative and quantitative insights to inform product decisions and improve user-centered design. Designed and built a Figma prototype to support usability testing and validation, conducting user experience research to inform product decisions and improve user-centered design.
Human Factors Aviation Safety Lab
Analyzed Boeing 737 Max "stick shaker" incident data to identify incorrect pilot responses that contributed to error, helping inform safety-related research insights. Also converted qualitative safety reports into quantitative datasets for an airline merger study, uncovering trends in post-merger incidents and strengthening the overall analysis.
Psychological Statistics
Directed the psychology department's tutoring program by leading weekly meetings, coordinating communication between faculty and tutors, and improving program effectiveness through feedback-driven adjustments. Simplified complex statistical concepts and provided one-on-one guidance in Jamovi and SPSS.
Building a Framework for AI Success: How Evaluation and Iteration Skills Shape the User Journey
Conducted a foundational UX research study on how new and experienced users learn to evaluate and iterate on AI-generated outputs. Led moderated interviews with 17 participants, developing the "AI Specificity Funnel" framework to explain how prompt specificity shapes evaluation and outcome quality, then translated findings into product recommendations for improving early-user onboarding and retention.
View Project →
Charles Schwab (Unaffiliated)
Conducted end-to-end usability testing on the Charles Schwab investing platform, identifying key friction points and cognitive overload in stock research and screening tools. Synthesized insights into actionable recommendations that improved navigation clarity, and presented findings to Schwab UX researchers.
View Project →
Manipulating Consumer Agency to Boost Trust in AI-Driven Products
Consumer trust in AI is often weakened by concerns about data privacy and loss of control. This literature review argues that increasing users' sense of agency—through design choices on AI product landing pages—can strengthen trust, perceived autonomy, and willingness to use AI tools.
View Project →
PollDip
A social polling app for teams. Drop a poll, settle a debate, and see what the room thinks—no surveys, no dashboards, no homework. Designed and built end to end with Next.js, Supabase, and Tailwind, featuring real-time vote counts, emoji reactions, comments, and invite-only workspaces. Currently a work in progress.
View Site →
