Stanford Webinar: Pitfalls of A/B Testing

Join Ramesh Johari, Associate Professor, Stanford Department of Management Science & Engineering, as he discusses some common practices and pitfalls in A/B testing, Apr 26, 2017.

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Free Stanford Webinar

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

A/B testing is the process of using randomized controlled experiments on a web page or technology platform to determine which has a higher conversion rate. While this method of testing has become ubiquitous, there remain some common traps to which even the most sophisticated data scientists fall prey.

Join Ramesh Johari, Associate Professor, Stanford Department of Management Science & Engineering, as he discusses some common practices and pitfalls in A/B testing.

You will learn:

	To analyze the output of A/B tests

	To balance quick results with statistical significance during continuous monitoring

	To maintain data integrity when running simultaneous experiments