Kent Eisenhuth is a Fellow of the Royal Society of Arts, author of Drawing Product Ideas and cofounder of Google's Data Accessibility Working Group. Kent has developed visual languages that improve collaboration, comprehension and decision making across a wide array of Google products including Fitbit, Google Cloud and Alphabet’s Loon. 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.
Past Talks
11 October 2023
For the past five years, Kent has led several data visualisations programs at Google. He currently focuses on creating accessible data experiences that provide value and insights to everyone, regardless of their ability. In this session, Kent will spotlight key lessons learned while building accessible visualisations for Google products like Search, Fitbit, Loon, Quantum AI and Cloud. He will discuss techniques for generating awareness, building a community of experts and making a business case for data accessibility. Kent will share his group's accessibility-first approach to design and how standards can be used to empower teams to create better data experiences.
17 May 2023
For the past five years, Kent has led several data visualizations programs at Google. He currently focuses on creating accessible data experiences that provide value and insights to everyone, regardless of their ability. In this session, Kent will spotlight key lessons learned while building accessible visualizations for Google products like Search, Fitbit, Loon, Quantum AI and Cloud. He will discuss techniques for generating awareness, building a community of experts and making a business case for data accessibility. Kent will share his group's accessibility-first approach to design and how standards can be used to empower teams to create better data experiences.