Data-informed decision-making: Building Reliable A/B Testing

This course delves into the essentials of A/B testing, including experiment design, measurement, and identifying or resolving biases and variances. It also addresses topics often overlooked by other resources:

  • The role of experiments in product delivery and discovery, decision-making processes, and determining next steps.
  • Designing and implementing an efficient experimental system to maximize traffic value and accelerate development and experimentation.