Hi, I'm Kristen. I specialize in AI products and human-AI interaction, with 7+ years of experience helping teams at Google, Amazon, Meta, and Microsoft understand their users and build with confidence.
12 consecutive weekly research rounds at concept stage studying how shoppers built trust with Amazon Rufus, navigated a conversational AI interface, and formed mental models of AI-powered recommendations.
Read Case Study eastSynthesized ~55 research reports to design a foundational archetype framework that mapped every user type — including AI agents — across Google's business tools ecosystem. Now actively used across Google product teams.
Read Case Study eastTwo-phase study with 27 participants combining qualitative interviews and a heuristic evaluation of 10 AI productivity tools. Published as lead author in partnership with Google, 2026.
Read Case Study eastSolo generative research program of 28 in-depth interviews resulting in three user archetypes that gave Google.org a shared, evidence-based understanding of their audience — and led to two additional research engagements.
Read Case Study eastA systematic approach to navigating ambiguity and delivering research that moves teams forward.
Identifying the right question before designing the right study. I use stakeholder interviews, landscape analysis, and generative research to uncover foundational user needs and surface the assumptions worth testing.
Translating complexity into shared clarity. I build frameworks, archetypes, and journey maps that give cross-functional teams a common language for understanding their users — tools that outlast any individual study.
Delivering research that changes what gets built. I partner closely with product, design, engineering, and leadership to ensure insights move from report to decision — and I track whether they do.
Two-phase qualitative study with 27 participants and heuristic evaluation of 10 AI productivity tools, uncovering how AI can bypass executive functioning challenges and enable new ways of working.