Methods sized to the decision
- MaxDiff and survey design at scale
- Concept testing and card sorts
- Contextual inquiry and diary studies
- RITE usability testing
Staff UX researcher · New York
UX researcher for enterprise AI and health data products
Research since 2013 at Northwestern Medicine, Google, BlackRock and Verily. I run the studies that decide which AI capabilities get built first, and work with product leaders until the evidence changes the roadmap.
- Most recent role
- Staff UX researcher, Verily, 2020 to 2026
- Focus
- Enterprise AI, life sciences, finance
- Methods
- MaxDiff, concept tests, contextual inquiry
- Education
- M.S., Human Factors, Cornell
Case studies. An AI roadmap, a health agent and AI for care teams.
Verily
Breaking the deadlock on an AI roadmap
30 AI feature ideas, an offsite eight weeks away. A two-phase study showed leadership what to build first.
300researchers surveyed in eight weeks
Verily Draft
A character people trust for a health agent
Foundational research set how Violet, an LLM health agent for chronic conditions, sounds, and when it hands off to a clinician.
86%CSAT three months after launch
Verily Draft
Care team capacity for chronic disease
A three-year vision for a two-sided care platform, then an LLM record summary that helps clinicians act sooner.
35%faster provider time to action
Experience and education
Professional experience
- 2020 to 2026Staff UX Researcher, enterprise AI and precision health
- 2018 to 2020UX Research Lead, Aladdin portfolio management
- 2017 to 2018UX Researcher, Search and Google Assistant
- 2016User Research Intern, mobile investing for young adults
- 2013 to 2015Usability Specialist, mHealth for depression and anxiety care
Education
- 2017M.S., Human Factors Engineering and Human-Computer Interaction
Published: Corden, M.E., Koucky, E.M., Brenner, C., Palac, H.L., Soren, A.D., et al. (2016). MedLink: A mobile intervention to improve medication adherence and processes of care for treatment of depression in general medicine. Digital Health, 2.
Insight to influence. Evidence is half the job. Getting it acted on is the other half.
Decision makers in the room early
- An executive sponsor before fieldwork
- Alignment sessions that score desirability, feasibility and fit
- Vision workshops with product, clinical and commercial leads
Evaluation for LLM products
- Evaluation harnesses for model builders
- LLM-as-a-judge with human review
- Synthetic data for test cases
- Agent tone and character frameworks
- Healthcare and life sciences
- Financial services
- Enterprise SaaS
- LLM evaluation
- Stakeholder alignment