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Source:All Ashley StirrupGrowthBookGraham McNicoll
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Ashley StirrupThe strongest experimentation cultures I've seen are built on ceremonies. Luis Trindade, text_videopodcast2026-08-06288400
Ashley StirrupB2C: "It's black, it fits my apartment, it makes hot water for my tea. I love it." B2B: "text_videopodcast2026-07-234381111
Ashley StirrupYou can run a thousand experiments, but there's one big question your business has to undetext_videopodcast2026-07-211,6341320
Ashley StirrupA C-suite exec walked in and said "we need video chat." Amazon Fire had just launched thetext_videopodcast2026-07-16436500
Ashley StirrupThe Home Depot does $150 billion a year as an enterprise. The online org alone just passetext_videopodcast2026-07-15441600
Ashley StirrupThere's a difference between a bad result and a bad experiment. James A. Falzone, Directotext_videopodcast2026-07-141,1901430
Ashley StirrupYour best feature might be hiding in the wrong place. Danielle Olean, Director of eCommertext_videopodcast2026-07-09231000
Ashley StirrupA billion dollars. That's JPMorganChase's estimated value from experimentation and innovatext_videopodcast2026-07-08349400
Ashley StirrupClaude Code turned weeks of data analysis into a few hours. Raunak Kumar at Fin (formerlytext_videopodcast2026-07-06647521
Ashley StirrupIf the idea sounds weak in plain English, don't run the experiment. Arun Bodapati at Twittext_videopodcast2026-07-03264200
Ashley StirrupUser research that once took three weeks now takes about two hours. Daniel Layfield at Diltext_videopodcast2026-07-03292410
Ashley StirrupThe biggest experiment wins usually aren't in the product at all. Nick Beyler from Stitchtext_videopodcast2026-07-028632201
Ashley StirrupHow Disney goes from no idea what to test → 110 ranked ideas Crystal Ammari Iorio runs extext_videothought_leadership_expert2026-06-305411312
Ashley Stirrup"If a test is safe enough to let AI run the whole thing, why run it at all?" That line frtext_videothought_leadership_expert2026-06-29409240
Ashley StirrupA two-point lift in close rate sounds like a rounding error. At Ford Credit, it's the numbtext_videopodcast2026-06-04573810
Ashley StirrupEveryone celebrates the winning test, but the losing ones are where the real money hides. text_videopodcast2026-06-02594940
Ashley StirrupDavid Massey, MFA just shared his secret success at UPS. Everyone thought his test was crtext_videopodcast2026-05-286691600
Ashley StirrupThe best experimentation teams celebrate the tests that fail. Why? Because a win confirmstext_videopodcast2026-05-269042231
Ashley StirrupAndrew Willingham's career advice for product managers: stop being right. Stop walking intext_videopodcast2026-05-132371001
Ashley StirrupMost teams kill a failed experiment and never look at it again. Kameron Tanseli at @fyxertext_videopodcast2026-05-13151610
Ashley StirrupDoorDash saved thousands of subscriptions per week. What was that experiment? Ilya Izraitext_videopodcast2026-05-122241911
Ashley StirrupHow does Fanatics generate hundreds of millions in growth from experimentation every year?text_videopodcast2026-05-111702730
Ashley StirrupUPS added a required email field to their shipping checkout. The outcome? Not good... Context_videopodcast2026-05-1198510
Ashley StirrupIs 1 year to choose an experimentation tool overkill? Khan Academy says no. Dr. Kelli Hiltext_videocustomer_story2026-05-072720
Ashley StirrupMost companies run experiments in a silo. The growth team knows what's working. Nobody eltext_videopodcast2026-05-06348420
Ashley StirrupKhan Academy spent 3 years defining one metric. Because most AI teams have no idea what "gtext_videopodcast2026-05-05268420
Ashley StirrupIntuition is the most dangerous tool in gen AI. It could have cost Khan Academy their AI ttext_videopodcast2026-05-04317820
Ashley StirrupMost teams ship a feature and move on. Kameron Tanseli at @fyxerofficial does the opposittext_videopodcast2026-04-293520
Ashley StirrupWe thought Chess.com users wanted to review their losses. 80% were reviewing their wins. text_videopodcast2026-04-249635131
Ashley StirrupNot every experiment that looks perfect on a whiteboard works in the real world. Kameron text_videopodcast2026-04-224181912
Ashley StirrupAt Ancestry, their goal is to make the past come to life. They used AI to do exactly that,text_videopodcast2026-04-1722520
Ashley StirrupA 5-pixel change almost cost LinkedIn $10M a year. A designer adjusted the padding on thetext_videopodcast2026-04-061101421
Ashley StirrupHow do you grow from $1M to $35M ARR in a year? Not by running the usual handful of tests text_videopodcast2026-04-021434432
Ashley StirrupHigh activity doesn't mean high quality. Sometimes it means the opposite. A user who refrtext_videopodcast2026-03-1226630
Ashley Stirrup8+ out of 10 features your team ships will fail. That's not pessimism — it's data. The metext_videothought_leadership_expert2026-03-1195410
Ashley StirrupMost ideas fail. Data shows the median organization has a success rate of only 10-15%. If text_videothought_leadership_expert2026-03-1123200
Ashley StirrupAnyone can run an A/B test. Typeform decided that wasn't enough. On the latest Experimenttext_videopodcast2026-03-1023720
Ashley StirrupA simple UI change was worth $120 million to Bing. The problem is, it's impossible to knotext_videopodcast2026-03-09551912