Gallo provides an accessible refresher on A/B testing fundamentals, covering hypothesis formulation, sample size calculation, statistical significance, and common pitfalls. The article bridges the gap between data science and business decision-making, helping managers understand when and how to use controlled experiments to optimize outcomes.