{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Experimentation Edge","title":"Inside The Home Depot's experimentation at a $25B scale","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/810b4c1d\"></iframe>","width":"100%","height":180,"duration":703,"description":"Summary\nWhat does experimentation look like inside a $150 billion retailer? In this episode of The Experimentation Edge, host Ashley Stirrup talks with Kim Ting Li, Senior Manager of Experimentation at The Home Depot, where one centralized team tests every major change to a $25 billion online business. Kim explains how 40 people serve 40–50 business teams, why executives join test readouts and ping analysts directly, how every result since 2020 lives in a searchable library, and why scaling beyond hundreds of experiments per year depends on server-side testing capabilities more than AI. For product, data, and engineering leaders building or scaling experimentation programs.\nChapters\n00:00 Intro\n00:45 From neuroscience research to Home Depot\n01:45 A $150B enterprise, a $25B online business\n02:45 The centralized experimentation model\n03:45 Inside the 40-person team\n04:30 Readouts, blast emails, and the experiment library\n05:40 Executive visibility and the golden rule\n06:15 \"If you won't act on a bad result, don't run the test\"\n11:15 Learning from losing tests\n12:30 Scaling up: AI, server-side testing, and what's next\nTakeawaysOne centralized team of about 40 people tests every major change to Home Depot's $25B online business, serving 40–50 business teams with consistent hypothesis and analysis standards.Executive engagement is real at Home Depot: leaders join 30-minute readouts, search the experiment library, and ping analysts directly because they treat A/B testing as the golden rule for measuring incrementality.Institutional memory is infrastructure — every test result since 2020 lives in a centralized, searchable archive so no one re-runs a question the company already answered.Kim's stakeholder filter: if you wouldn't do anything differently after a bad result, don't run the test.Scaling past low hundreds of experiments per year is a capabilities problem before it's an AI problem — Home Depot is moving from client-side to server-side testing so winners release...","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}