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SOURCE: Nassery L. Next-Level A-B Testing. Repeatable, Rapid, and Flexible...2025
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COVER
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MEDIAINFO
Textbook in PDF format Let’s say you’re already familiar with the basics of A/B testing, like defining hypotheses, success metrics, and variants, from reading my first book, Practical A/B Testing. In that book, you learned about the basic anatomy of an A/B test, how to foster a culture of experimentation, and the essential elements needed to run an experiment on a product. Now, you’ve moved beyond those initial stages. You’re running experiments weekly, gaining insights into user engagement, and launching features based on those results. Your engineering and product teams see the value of evaluating features through experiments, making A/B testing a standard part of your product development process. Overall, the culture of experimentation has become deeply engrained in your company. But with this success comes new challenges. Perhaps you’re looking to run more experiments simultaneously to increase your testing velocity and unblock teams that would otherwise face delays. Maybe you’ve encountered frustrating experiment restarts due to misconfigurations, highlighting the need for more thorough validation processes. If any of this is relatable, then you’re in the right place! In this book, you’ll learn how to elevate your experimentation practices, developing techniques to enhance A/B testing rate, cost efficiency, and quality. The better tools you have in your experimentation toolkit, the better off teams will be shipping and evaluating new features on a product. Learn how to create robust A/B testing strategies that evolve with your product and engineering needs. See how to run experiments quickly, efficiently, and at less cost with the overarching goal of improving your product experience and your company's bottom line. The long-term success of any product hinges on a company's ability to experiment quickly and effectively. The more a company evolves and grows, the more demand there is on the experimentation platform. To continue to meet testing demands and empower teams to leverage A/B testing in their product development life cycle, it's vital to incorporate techniques to improve testing velocity, cost, and quality. Learn how to create an A/B testing environment for the long term that lets you quickly construct, run, and analyze tests and enables the business to explore and exploit new features in a cost-effective and controlled way. Know when to use techniques—stratified random sampling, interleaving, and metric sensitivity analysis—that let you work faster, more accurately, and more cost-effectively. With practical strategies and hands-on engineering tasks oriented around improving the rate and quality of testing on a product, you can apply what you've learned to optimize your experimentation practices. A/B testing is vital to product development. It's time to create the tools and environment that let you run these tests easily, affordably, and reliably. Who Should Read This Book This book assumes you have experience running A/B tests on user-facing products. You could be a product manager, a software engineer, a business analyst, an engineering manager, or any role in between. If you’re a data scientist, you’ll likely already be familiar with a good portion of experimentation strategies detailed in this book, but you would benefit from the practical lens of enabling each experimentation strategy on a platform. Now if you’re new to the experimentation domain, read Practical A/B Testing first to become familiar with the anatomy of an A/B test before reading this book. Introduction Why Experimentation Rate, Quality, and Cost Matter Improving Experimentation Throughput Designing Better Experiments Improving Experiment Design Improving Machine Learning Evaluation Practices Verifying and Monitoring Experiments Ensuring Trustworthy Insights Practicing Adaptive Testing Strategies Verifying and Monitoring Experiments Ensuring Trustworthy Insights Practicing Adaptive Testing Strategies Measuring Long-Term Impact Tying It All Together
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