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Graham McNicollNobody should bench press 300 pounds their first day in the gym. The reason is obvious. Ytext_videothought_leadership2026-10-14—1510
Graham McNicollAll of AI right now is entirely reactive. You have to know what to ask before it can helptext_videothought_leadership2026-10-071951520
Graham McNicollArtificial intelligence helps you feel artificially intelligent. It is almost as if it watext_videothought_leadership2026-09-303422020
Graham McNicollBuilding a feature now costs almost nothing, which turns out to be the problem. When you text_videothought_leadership2026-09-232941000
Graham McNicollMost product teams use evals to figure out if their AI tools or products are working corretext_videothought_leadership2026-09-084681940
Graham McNicollAI has made it ridiculously easy to build and ship features. The problem is that AI doesn'text_videothought_leadership2026-08-204681412
Graham McNicollA lot of engineering teams have feature flags to control the release of features and act atext_videothought_leadership2026-08-18310910
Graham McNicollIt's really hard when you really believed in feature, you managed to get it prioritized, ytext_videothought_leadership2026-08-133331530
Graham McNicollFrom my experience, experimentation programs don't get killed off in a meeting because peotext_videothought_leadership2026-08-112991020
Graham McNicollToken costs are exploding across our industry. Here's how we approach it. I definitely betext_videothought_leadership2026-08-043231020
Graham McNicollOne of the things we tell a lot of our customers is that it's the number of at-bats that wtext_videothought_leadership2026-07-29342720
Graham McNicollMost companies ship the first version of the product they build. And the chance that's thetext_videothought_leadership2026-07-166541740
Graham McNicollMost product teams build features the expensive way. Someone has the idea. The team spectext_videothought_leadership2026-07-09291520
Graham McNicollPMs ship experiment winners too early. A metric moves 3%, the test gets called, and the text_videothought_leadership2026-07-073511510
Graham McNicollOne very large financial company, a name you would recognize, told me they were doing expetext_videothought_leadership2026-06-307131731
Graham McNicollI see experimentation leads run two or three tests a month and feel like they have figuredtext_videothought_leadership2026-06-23406810
Graham McNicollI have been a software engineer long enough to have the grey hairs to show for it. Monoltext_videothought_leadership2026-06-189692130
Graham McNicollKilling a feature you spent months (or years) building is one of the hardest calls in prodtext_videothought_leadership2026-06-164751551
Graham McNicollEvery experimentation leader eventually runs into the result nobody expected. A counteritext_videothought_leadership2026-06-113671000
Graham McNicollMost engineering teams using feature flags treat them as circuit breakers. Something goes text_videothought_leadership2026-06-093331210
Graham McNicollI spoke to an engineering manager last week whose team still tracks sprint progress in stotext_videothought_leadership2026-06-034691210
Graham McNicollMost product teams I talk to struggle to analyze the true impact of any feature they ship,text_videothought_leadership2026-05-20312900
Graham McNicollMost engineering teams I talk to are still shipping every feature directly to production. text_videothought_leadership2026-05-131,3432021
Graham McNicollMost product teams spec out the entire feature before they've shipped a single line of codtext_videothought_leadership2026-05-062,2441820
Graham McNicollAI coding tools are genuinely impressive. And this is literally the worst they will ever btext_videothought_leadership2026-04-296,3232210
Graham McNicollIt's entirely possible to run a test, see it win, ship the feature, and still damage your text_videothought_leadership2026-04-179521320
Graham McNicollI see so many software teams launch massive features without actually defining what succestext_videothought_leadership2026-04-147411100
GrowthBookA simple UI change that sat in Bing’s backlog for months was worth over $120M in annual retext_videothought_leadership2026-04-13409400
Graham McNicollEngineer's who ship products without measuring them are making a big mistake. If you arentext_videothought_leadership2026-04-086321500
Graham McNicollI've watched design teams spend months on an interface that looked great, and was based ontext_videothought_leadership2026-04-016712221
Graham McNicollIn many companies, the projects we work on are the ones backed by the person who speaks thtext_videothought_leadership2026-03-261,3972841
Graham McNicollThe most important transition for a product team is learning how to be ruthless with ideastext_videothought_leadership2026-03-241,3332840
Graham McNicollJudging a product team solely on their ability to ship is a bad metric that rewards activitext_videothought_leadership2026-03-189243510
Graham McNicollI know it sounds controversial, but I advocate for burning your backlog at the end of evertext_videothought_leadership2026-03-121,7955670
Ashley StirrupMost ideas fail. Data shows the median organization has a success rate of only 10-15%. If text_videothought_leadership2026-03-1174200
Graham McNicollIn baseball terms, the industry standard for any new product success is batting 200- and htext_videothought_leadership2026-03-101,4524910