{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Experimentation Edge","title":"Why Farfetch manages by learning rate, not win rate","html":"","width":"100%","height":180,"duration":2359,"description":"Summary\nLuis Trindade, Principal Product Manager of Experimentation at Farfetch, joins host Ashley Stirrup to explain how one of the world's largest luxury marketplaces built its own experimentation platform and the culture around it. Luis covers the move from a hybrid setup with an external testing vendor to Fabs 2.0, the in house system where a feature toggle is the single entry point for every experiment, why Farfetch manages by learning rate instead of win rate, and the two year Inspire experiment that replaced the world's leading recommendation engine vendor. He also shares how a deliberately shrinking center of excellence supports hundreds of experiments a month through clinics, shared templates, and open learning sessions. This episode is for product managers, engineers, data scientists, and growth leaders building or scaling an experimentation program.\nChapters00:00 Cold open and introduction01:45 Inside Farfetch, the global marketplace for luxury fashion08:00 From startup validation to an experimentation mindset09:45 A center of excellence that enables instead of executes12:45 Fabs, build versus buy, and dropping the external vendor16:45 One feature toggle as the entry point for every experiment20:45 Learning rate over win rate23:15 The two year experiment that replaced the recommendation vendor29:45 Onboarding new product managers into experimentation33:15 AI, corporate knowledge, and what comes next for experimentation\nTakeaways-Manage by learning rate, not win rate. The only failed test is one that was badly designed, with wrong metrics or sampling biases. Every other test produces a learning.-Route every experiment through a single entry point. Farfetch's feature toggling system connects segmentation, user systems, CMS, and messaging so every team tests in the same language.-External JavaScript injection tools carry hidden costs: broken pages, inconsistent results, and rework to reclaim your own data for deep dives.-Strategic bets deserve a longer...","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}