{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Experimentation Edge","title":"What the Expedia Group cannot measure, it cannot ship","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/0dc99dd8\"></iframe>","width":"100%","height":180,"duration":1739,"description":"\nSummaryAmir Moghaddam, Director of Software Engineering at Expedia Group, joins host Ashley Stirrup on The Experimentation Edge to make the case that measurement is not a reporting step but a gate: what you cannot measure, you cannot ship. Drawing on nearly four years at DoorDash and his current work leading Expedia's air booking platform, Amir explains why he refuses to label experiments winners or losers, how a \"failed\" pricing test pushed his team toward full personalization, and why a three sided marketplace forces hard trade-offs between competing metrics. The conversation closes on how the same experimentation discipline now applies to shipping and measuring AI. Built for product managers, engineers, data scientists, and growth leaders who care about rigor over opinion.\n\nChapters00:00 Cold open\n00:50 Meet Amir and the air booking platform at Expedia\n03:10 DoorDash, growth, and a 70 experiment year\n04:20 Three kinds of experimentation at Expedia\n06:30 AI velocity and the new frontier model pace\n08:30 What you cannot measure, you cannot ship\n10:45 The DoorDash carousel and the price experiment\n12:45 The three sided marketplace and competing metrics\n16:55 There are no losing experiments\n20:45 Predictability, LLMs, and Expedia's road ahead\n\nTakeaways\"What you cannot measure, you cannot ship\" — if you can't measure an outcome, you can't decide whether it's better, so you're just debating opinions.Measurement spans three live dimensions: spend (more with less), speed (sprints instead of quarters), and quality, with guardrail \"do no harm\" metrics on top.There are no losing experiments. A flat result is a signal to either refine the hypothesis or step back and look from a completely different angle.DoorDash's price experiment proved price by itself doesn't predict orders. Different customers want different things at different times, which pushed the team toward personalization.A three sided marketplace (buyers, merchants, Dashers) makes metrics compete. Running...","thumbnail_url":"https://img.transistorcdn.com/D9kLs0HSsqR4ttk_5ESEdC1jX-wmD76GK-OHmb3a9B8/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80YTFk/MGU1MjJlODhlNjJh/MTdlZTZkN2Q1ODY5/OTdjYy5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}