Accelerated product decision-making across CreatorX by founding and leading the Rapid Research program, delivering high-velocity qualitative studies from problem framing through executive synthesis to inform feature prioritization and roadmap direction.

Improved monetization feature adoption by conducting user research on creator pricing behavior, identifying trust gaps in auto-pricing systems, and influencing product design toward clearer explanations, controls, and progressive learning experiences.

Scaled insight-driven product development across teams by training Product Managers, Designers, and Researchers in workshop facilitation, user-centered discovery, and structured decision-making.

Enabled data-informed product and organizational decisions by building dashboards, defining metrics, and integrating behavioral data, survey insights, and workflow analytics into prioritization and planning.

Improved team effectiveness and delivery outcomes by designing and operationalizing systems for prioritization, tracking, and cross-functional alignment across product, design, and engineering.

Led adoption of AI-enabled workflows across product and design teams by developing prompt libraries, training programs, and responsible usage frameworks that improved research synthesis and decision speed.

Applied People Science methods to product and organizational systems, including surveys, interviews, and longitudinal measurement, to improve decision-making, collaboration, and team performance.

Recognized company-wide as the AI and data lead within Operations—the go-to partner for data analysis, dashboards, and applied data science. Served as a visionary and enterprise-level workshop leader, teaching and enabling Recruiting, Product Management, UX Research, Design, and People Science teams to lead effective, insight-driven workshops and apply AI-supported decision-making in practice.

AI: Served as the lead AI partner across design operations peers outside of Roblox. Also AI visionary within operations, teaching AI fundamentals and AI-driven operational practices, enabling teams to responsibly integrate AI into workflows; and continuously conducted operational research to improve systems.

Ops: designed and managed company-wide programs, decision-making, and team effectiveness.Led and executed quality operations, design critiques, user research, and operational research, owning tracking, prioritization, metrics, measurement, data analysis, and forecasting; built and maintained advanced spreadsheets and dashboards; partnered on recruiting, intern programs, mentorship, and teaching; ran standups, program cadences, and cross-team alignment

People Science/UXR: designed and managed company-wide programs; applied People Science methods including surveys, interviews, workflow analysis, and longitudinal measurement; and continuously conducted operational research to improve systems, decision-making, and team effectiveness.

Set and upheld research quality standards, coaching teams on rigorous qualitative practice from study design through synthesis.

Developed researcher judgment across interviewing, surveys, usability evaluation, and mixed methods, balancing rigor with delivery realities.

Provided senior-level critique on bias, methodological soundness, insight clarity, and actionability to ensure research influenced decisions.

Elevated research storytelling and stakeholder impact, guiding teams to translate findings into clear, decision-ready narratives.

Improved productivity and collaboration across a 400-person organization by leading an org-wide research initiative on remote work, using interviews, longitudinal surveys, and behavioral analytics to redesign workflows.

Influenced organizational strategy by delivering research findings that drove measurable improvements and secured investment in long-term productivity experiments.

Increased asset production throughput 5x (15 min → <3 min) by serving as product owner for an internal platform that automated content workflows and improved usability.

Designed research-informed tools and systems that improved speed, discoverability, and usability of internal assets (EAX Hackathon winner, 2020).