The Data Literacy Show

How do you know if your data and AI literacy program is actually working? In this inaugural episode of The Data Literacy Show, hosts Ben Jones (CEO of Data Literacy) and Alli Torban (Senior Data Literacy Advocate) tackle one of the most pressing questions for organizations embarking on their data and AI literacy journeys: How do you measure success? Topics we cover: The difference between objective and subjective assessments—and when to use each. How maturity models and progress tracking help you map out and achieve your goals. The three pillars of measurement—quantity, quality, and perception—and practical ways to monitor each. Ben and Alli also share real-world insights from their experience training thousands of people and helping organizations launch their data literacy programs. Ready to measure your team's data and AI literacy? Tune in for key takeaways and details about the re-launch of our Data Literacy Score team-based assessment. Subscribe now to never miss an episode, and let’s make data accessible for everyone! Episode 01 Show Notes: https://dataliteracy.com/episode-01

Welcome to The Data Literacy Show — the podcast that helps organizations build, measure, and level up their data and AI literacy. The show is hosted by Ben Jones, co-founder and CEO of Data Literacy, and Alli Torban, Senior Data Literacy Advocate, and we want to share everything we've learned from years of training thousands of people across industries in data and AI literacy. In each episode, we’ll share actionable tips, resources, and insights to help you strengthen your own data and AI literacy programs. From assessing your team’s knowledge to uncovering key attitudes and behaviors of successful teams, we’ll cover the topics that matter most, including avoiding common pitfalls like ineffective data storytelling. The show is for executives, managers, or those on the learning and development team. We hope you join us! Show Notes: https://dataliteracy.com/data-literacy-show-trailer