Trustworthy Online Controlled Experiments - A Practical Guide to A/B Testing
Ron Kohavi, Diane Tang, Ya Xu
Summary
In the rapidly evolving landscape of digital products and services, making data-driven decisions is paramount. This book serves as an essential guide for practitioners aiming to implement reliable and effective online controlled experiments, commonly known as A/B testing. It delves into the best practices, pitfalls, and methodologies that can help organizations validate product changes, optimize user experiences, and ultimately drive business growth through experimentation.
- Fundamental Importance of Experimentation: Online controlled experiments provide a rigorous framework to test hypotheses and measure the impact of product changes objectively.
- Design of Experiments: Careful experiment design including...
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