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In 2026, easy access to experimentation tools has lowered the barrier to running A/B tests. Execution is now really cheap, and AI can now generate ideas, build variants, write code, and summarize results in seconds. The competitive edge comes from rigor, transparency, disciplined decision-making, and building a process your...
Frequentist and Bayesian are the two main approaches A/B testing tools use to crunch results. One uses a fixed, pre-determined sample size and p-values. The other gives probabilities like “there’s an 85% chance this version is better.” Which should you trust? It depends on your traffic, test design, and...
