What does it take to run over 1,500 experiments a year — and still maintain speed, quality, and impact?In this episode, Harry sits down with Dmitry Zolotukhin [https://www.linkedin.com/in/dimazolotukhin/overlay/about-this-profile/?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAAAhItnwB4sPSrzvmZ8E27qMch_Me0dFnbEI], VP of Analytics at Flo, to unpack how one of the world's leading health and wellness apps built a truly data-driven culture of experimentation.They explore Flo's journey from early-stage testing to a mature experimentation framework, the technical infrastructure behind it, and how the team coordinates hundreds of tests at once without losing focus on user experience or business value.You'll learn: * How Flo scaled experimentation from small tests to 1,500+ annual experiments * The tools and frameworks powering experimentation at scale * Strategies for balancing speed vs. quality in testing * How to foster a culture of learning and experimentation across teams * Real examples of how data-driven insights shaped Flo's product roadmap