Every team should be A/B testing

Experiments, particularly randomized controlled trials, have proven to be timeless tools for organizations seeking to understand causation and improve decision-making, regardless of technological advancements. These trials, commonly associated with A/B testing, are utilized by leading companies like Meta, Google, and Amazon to run tens of thousands of experiments annually, thereby refining product features, user interfaces, and deployment strategies. Notably, canary testing has become crucial in software deployment, enabling organizations to test changes on a small scale before full implementation, preventing incidents like the significant outage faced by Google Cloud in 2025. Companies such as Microsoft, Amazon, and Duolingo leverage experimentation to enhance metrics, from reducing latency to improving user engagement, while AI models are tuned and evaluated through online evaluations. This iterative process drives a learning velocity that builds a competitive advantage, as organizations evolve technically and culturally to respond swiftly to market changes. Ultimately, experimentation is not just about success or failure but about learning and adapting quickly, offering insights that compound over time to create substantial value.