Hi, I'm Aaron Kagan - Advisor at Hubble
I thrive at the dynamic intersection of AI, product, and human decision-making, crafting strategies for responsible innovation. My passion lies in transforming complex AI challenges into clear, confident product decisions that genuinely improve user experiences and outcomes.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led large-scale UX Research initiatives at Google across Search, Android, and Chrome.
Currently a Staff UX Researcher & AI Strategist at Articulate, driving AI product decisions.
Can help organizations develop robust AI strategies and responsible human-AI systems.
🚀 Career trajectory
Foundational UX & Product Research
Led large-scale UX Research initiatives at Google across Search, Android, and Chrome, helping shape product direction, emerging interaction models, and user-centered approaches to complex regulatory and organizational challenges.
✦ UX Research
✦ Product Development
Human-AI Systems & Strategy
Founded GraspingAI to explore AI strategy, intentional systems design, and human-AI interaction. Advises organizations on research strategy, decision-making frameworks, and the psychological implications of AI product design.
✦ AI Strategy
✦ Human-AI interaction
✦ Advisory
Academic & Cognitive Science Background
Contributed to teaching and research across UX, cognition, philosophy, and emerging technology. Co-author of a recent book on embodied cognition and the relationship between mind, behavior, and environment.
✦ Cognitive Science
✦ Teaching
✦ Research
Current AI Focus
Currently focused on how organizations meaningfully integrate AI into products, workflows, and decision-making processes, with particular attention to human behavior, organizational adoption, and real-world user outcomes.
✦ AI Product Strategy
✦ UX Research
💪🏻 Superpowers
Sensemaking in Ambiguous AI Spaces
Helping teams make clearer decisions in fast-moving and uncertain AI environments.
✦ Translating messy human behavior and qualitative insight into actionable product direction.
✦ Identifying where AI systems genuinely improve user outcomes versus simply increase activity or dependence.
✦ Helping organizations move from AI hype and intuition toward more grounded decision-making.
Human-AI Interaction & Intentional Systems Design
Exploring how AI systems shape human expectations, cognition, and behavior.
✦ Researching how interface structure, framing, and interaction patterns influence trust, agency, and meaning-making.
✦ Designing and evaluating AI interaction models that are psychologically clear and behaviorally effective.
✦ Bringing together perspectives from UX research, cognitive science, philosophy, and product strategy.
Bridging Research, Product, and Strategy
Helping cross-functional teams navigate complex product and organizational decisions.
✦ Connecting user insight, product strategy, and emerging AI capabilities in ways that leadership teams can act on.
✦ Facilitating alignment across research, design, product, and engineering in ambiguous spaces.
✦ Making complex AI ideas understandable without oversimplifying the human implications.
I'm excited about
✦ Exploring how AI systems shape human expectations, behavior, and decision-making.
✦ Thinking through the psychological and social implications of AI interfaces, metaphors, and interaction patterns.
✦ Connecting with people building thoughtful AI products, research practices, and organizational approaches during this weird transition moment.
I can help with
✦ UX research strategy for AI products, especially in ambiguous or fast-moving spaces.
✦ Translating messy human behavior and qualitative insight into clearer product and organizational decisions.
✦ Thinking through human-AI interaction design, adoption challenges, and what “AI-first” actually means in practice.
I would love your help on
✦ Meeting thoughtful people working on AI, cognition, product strategy, and emerging interaction models.
✦ Exploring consulting, collaborations, speaking, writing, and future opportunities around intentional systems design and AI.
✦ Learning from founders, researchers, and operators navigating the real-world challenges of building useful and responsible AI systems.