2 years ago

Category: Business

Martin Tingley with Wenjing Zheng, Simon Ejdemyr, Stephanie Lane, and Colin McFarlandThis introduction is the first in a multi-part series on how Netflix uses A/B tests to make decisions that continuously improve our products, so we can deliver more joy and satisfaction to our members. Subsequent posts will cover the basic statistical concepts underpinning A/B tests, the role of experimentation across Netflix, how Netflix has invested in infrastructure to support and scale experimentation, and the importance of the culture of experimentation within Netflix.

Transitioning from that 2010 experience to what we have today required Netflix to make countless decisions.

There are a number of ways Netflix could make decisions about how to evolve our product to deliver more joy to our members: In each of these paradigms, a limited number of viewpoints and perspectives contribute to the decision.

At Netflix, we believe there’s a better way to make decisions about how to improve the experience we deliver to our members: we use A/B tests.