Kent Eisenhuth
Kent Eisenhuth — Staff Product Designer at Waymo. Talks and sessions delivered at UXDX.
Staff Product Designer
As a design lead at Waymo, Google, and a fellow of the Royal Society of Arts, Kent has two decades of experience in developing visual languages that improve collaboration, comprehension, and decision-making across a wide array of products, including Google Cloud, Fitbit, Search, Alphabet’s Loon, and Waymo.
Kent led Fitbit’s Generative AI Charting program and co-founded Google’s Data Accessibility program. He previously led Google Cloud’s Data Visualization program and co-authored the data visualization specs for Material Design.
Kent’s work and ideas have appeared in many publications, including The Guardian, UXmatters, ACM journals, and Smashing Magazine. His book, Drawing Product Ideas, delivers a new and exciting guide to effectively communicating product ideas by drawing simple shapes.
Kent has presented talks and ideas at many conferences, such as IxDA’s Interaction, SXSW, The Israeli Visualization Conference, UXDX, and the World Usability Congress, and he is a frequent guest lecturer at several universities in the United States.
Past talks
5 talks · 3 eventsQ&A Deep Dive: Designing Human-Centered AI Products People Can Trust
AI products only succeed when they are useful, understandable, and grounded in real human needs. In this Q&A deep dive, Kent Eisenhuth, Anya Gerasimchuk, and Larkin Brown will help you explore how leading teams are building AI experiences that balance innovation with clarity, trust, and strong design principles, with plenty of space for you to ask direct questions and dig into the practical realities behind the work. Kent will share how data visualization can make generative AI experiences more intuitive, informative, and human-centered. Anya will bring the healthcare perspective, showing how AI can reduce administrative burden, improve productivity, and support better outcomes while still operating within strict constraints around trust, compliance, and data. Larkin will show how Pinterest is combining UX research, design leadership, and generative AI to create visual experiences that keep human insight at the center. Together, they will unpack how you can design AI experiences that are not only technically impressive, but genuinely usable, trustworthy, and valuable. Come ready to raise your questions, test your assumptions, and get into the detail of what actually works when building human-centered AI products.
Data Visualization & Generative AI: Human-Centered Principles for Building GenAI Data Experiences
Working with AI can often feel intimidating and opaque, but thoughtful UX can change that. This talk highlights how Kent’s team leveraged timeless design methods to create more intuitive, informative, and engaging AI interfaces through visualization. Drawing on his work with Google’s Personal Health Coach, Kent will walk through the process of integrating visual data into a chatbot environment. He will share guiding principles and practical takeaways for anyone building human-centered AI data experiences, created by humans, for humans. What you’ll learn: - A behind-the-scenes look at integrating co-design and UX research into AI workflows. - Why data visualization is an essential component of a generative AI interface. - Key lessons learned when applying data visualization to generative AI products.
SOLD OUT: Who Should Be Nervous in the Age of AI? Opening Night Offsite
Join us for an informal opening evening hosted at Figma’s office, just a short distance from the main venue. This offsite session is designed for those arriving early, based locally, or looking for a more relaxed way to kick things off before the main event begins. Expect drinks, conversation, and a provocative discussion to set the tone for the days ahead. Note We cannot accommodate everyone from the event so only available to those who register in advance. We have been here before. We have lived through waves of euphoria and dismay. First the computer. Then the web. Then mobile. Each time we believed everything was changing. Each time shallow practice was exposed. Now AI is not coming. It is here. It drafts. It prototypes. It codes. It researches. It collapses handoffs. It accelerates output. It also accelerates mediocrity. So who should be nervous? This opening session revisits the role of the whole product team in an AI world, not from hype, but from history and fundamentals. It argues that this is not the end of design, product, or engineering. But it is the end of surface-level competence. Drawing from past technology shifts and a return to hands-on learning in AI, machine learning and data science, this session explores and debates what actually survives disruption. Agenda: - 5:30 PM Registration opens; reception F&B open - 6:15 PM Welcome - 7:50 PM Networking and F&B - 8:30 PM Close Our panelists will discuss: - Why every discipline in product development is exposed by AI, not just Design - Why shallow generalism and narrow specialism are both fragile in 2026 - How will team structures and ways of working change - What “depth” really means when AI can generate output instantly - The unique perspective Design brings when systems become intelligent, not just interactive - How to think about generalist vs specialist in a world where AI fills skill gaps but cannot replace judgment - What skills, mindsets and fundamentals will compound rather than decay This will be followed by an open forum, giving everyone in the room a chance to speak candidly with the speakers about their hopes, concerns, and open questions in this space. Location: Figma: 33 W 23 St, New York, NY 10010
