Common Pitfalls of A/B Testing and How to Avoid Them

Explore common pitfalls in A/B testing and learn effective strategies to avoid them in this 57-minute webinar presented by Stanford University. Gain insights from Ramesh Johari, Associate Professor at Stanford's Department of Management Science & Engineering, as he delves into the intricacies of randomized controlled experiments on web pages and technology platforms. Learn to analyze A/B test outputs, balance quick results with statistical significance during continuous monitoring, and maintain data integrity when running simultaneous experiments. Discover how to leverage tools from operations research, engineering, and economics to design and manage large-scale complex networks efficiently. Enhance your understanding of market mechanisms for resource allocation in networks and improve your A/B testing practices.