UX Research & Strategy Leader
Driving product decisions and scaling UX impact through research, systems, and strategy.
Focused on scaling research through AI-enabled workflows, ResearchOps systems, and cross-functional leadership.
How I Lead UX Research
UX Research creates value when it scales beyond individual studies into systems that inform product decisions.
My approach focuses on building research programs, integrating AI into workflows, and designing systems that increase the reach and impact of research.
Driving Impact Through Research, Systems, and Strategy
Innovation Labs — Scaling UX Research across 9–15 products and 150+ sessions
Led a centralized research program across 9–15 product teams, scaling discovery and synthesizing insights into a unified product direction.
View Case Study arrow_forward"Large-scale usability testing conducted during OpenText World, enabling rapid feedback collection across multiple product teams."
AI Integration in UX Research — Reducing research cycle time while improving consistency
Implemented AI-assisted workflows that reduced synthesis time by 40% while improving consistency across qualitative research.
View Case Study arrow_forward"AI-assisted qualitative analysis, highlighting themes and accelerating insight generation from research sessions."
ResearchOps Platform — Building systems to scale research operations
Designed a ResearchOps platform to centralize participants, projects, and artifacts—improving visibility and coordination across research activities.
View Case Study arrow_forward"Centralized ResearchOps platform supporting participant management, project tracking, and cross-team research visibility at scale."
Building research systems and teams for high-stakes product environments.
"Leadership is not just about managing projects; it's about operationalizing empathy and intelligence to make better bets on the future."
With over a decade of experience in UX leadership, I focus on the intersection of human behavior and business strategy. My approach is rooted in the belief that research should be a continuous operational engine, not a series of one-off projects.
I specialize in building ResearchOps systems that empower researchers to do their best work and product teams to make decisions with confidence. Currently, I am deeply involved in how generative AI can augment the research lifecycle—from accelerating transcription and tagging to uncovering deep semantic patterns in global datasets.
Scaling UX Impact
Systemizing discovery processes to ensure user insights drive every stage of the PDLC, from visioning to shipment.
Operationalizing AI
Developing ethical and efficient AI workflows for research synthesis, sentiment analysis, and predictive modeling.
Let’s scale research impact.
Partnering on research strategy, systems, and AI-enabled workflows.