These answers come from the year-long archive of my previous chatbot that lived on my previous site iamnicola.ai. I’ve curated the most useful sessions—real questions from operators exploring AI workflows, experimentation, and conversion work—and lightly edited them so you get the original signal without the noise.
experimentation
How do I build an experimentation culture?
Building an experimentation culture requires leadership support, clear processes, and celebrating learning over winning. Start by making testing accessible—provide tools and training so anyone can propose tests. Create a process for submitting, prioritizing, and running tests. Share results openly, including failed tests, since failures teach valuable lessons. Reward curiosity and data-driven thinking, not just successful tests. Make testing part of regular workflows, not a special process. Encourage hypothesis-driven thinking—every test should have a clear hypothesis. Celebrate learning and iteration, not just big wins. Example: A company built experimentation culture by having monthly 'test and learn' sessions where teams share results, leading to 10x more tests run and consistent improvements.
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