Trustworthy Online Controlled Experiments

This book, written by experimentation leaders from Google, LinkedIn, and Microsoft, provides practical insights and examples on designing, executing, and interpreting online controlled experiments.

It covers the entire process from hypothesis formulation to result interpretation, emphasizing the importance of trustworthiness, statistical significance, and avoiding common pitfalls like carryover effects and Simpson's paradox.

The authors share their extensive experience to help readers make informed decisions based on reliable data, fostering a culture of trustworthy experimentation in organizations.