GrowthBook

A simple UI change that sat in Bing’s backlog for months was worth over $120M in annual revenue. Nobody saw it coming. That's the paradox of experimentation: the median organization sees only 10% of experiments move the metrics they were designed to improve, yet the ones that do can be transformative. You can't predict which changes will win. That's exactly why scaling experimentation is the only reliable path to finding them. Ron Kohavi — a top-cited researcher in Computer Science and leading voice in experimentation — joined GrowthBook’s Luke Sonnet to discuss what separates experimentation programs that drive real growth from ones that just generate data: ✅ Experimentation is how you stop guessing — embrace the high failure rate ✅ The metrics you should be building and tracking ✅ Why shipping flat results is almost never a good decision ✅ How to build a shipping criteria framework that scales ✅ The mindset shift that changes how your team treats failed experiments Read the blog recap: https://lnkd.in/gpCdEPFv

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