A/B Testing for Beginners : Design and Analyze Experiments to Compare Different Versions of a Product or Feature

Oliver Stanton

ISBN 13: 9798295508172

Published by Little Big Giant, 2025

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduces A/B testing in clear, practical terms for adult readers who want to understand how online experiments drive better decisions in business, product design, and everyday problem solving. Using straightforward examples, it explains how small, controlled changes can answer real questions-such as which headline performs better, which layout increases sign-ups, or which feature improves retention. The focus is on building sound judgment, data literacy, and evidence-based decision making.You'll learn how real organizations use experiments to reduce guesswork and measure impact. A famous large-scale web experiment once tested dozens of shades of blue and showed that tiny design changes can significantly affect user behavior-an example that illustrates why careful measurement matters and why intuition alone often fails.Rather than presenting A/B testing as a perfect process, the book emphasizes the moments where learning happens: failures, setbacks, and course corrections. Each chapter highlights what didn't work, what the experiment revealed, and how teams adjusted their approach-showing how experiments turn mistakes into useful information.Chapters walk you through forming testable hypotheses, choosing clear success metrics, setting up fair comparisons, and interpreting results without overclaiming. You'll also learn plain-language explanations of sample size, statistical noise, and common pitfalls.The book includes short exercises and prompts that help you practice designing experiments, tracking outcomes, and communicating findings. It also covers basic ethical safeguards-how to avoid harming user experience, monitor unintended effects, and stop tests that create problems-so experimentation remains responsible as well as effective.

Seller Inventory # 9798295508172

Bibliographic Details

• Title: A/B Testing for Beginners : Design and Analyze Experiments to Compare Different Versions of a Product or Feature
• Publisher: Little Big Giant
• Publication Date: 2025
• Language: English
• ISBN 13: 9798295508172
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 191W x 140H x 12D millimeters 191 millimeters width by 140 millimeters height by 12 millimeters depth
• Weight: 244 grams

About this title

Synopsis

This book introduces A/B testing in clear, practical terms for adult readers who want to understand how online experiments drive better decisions in business, product design, and everyday problem solving. Using straightforward examples, it explains how small, controlled changes can answer real questions-such as which headline performs better, which layout increases sign-ups, or which feature improves retention. The focus is on building sound judgment, data literacy, and evidence-based decision making.

You'll learn how real organizations use experiments to reduce guesswork and measure impact. A famous large-scale web experiment once tested dozens of shades of blue and showed that tiny design changes can significantly affect user behavior-an example that illustrates why careful measurement matters and why intuition alone often fails.

Rather than presenting A/B testing as a perfect process, the book emphasizes the moments where learning happens: failures, setbacks, and course corrections. Each chapter highlights what didn't work, what the experiment revealed, and how teams adjusted their approach-showing how experiments turn mistakes into useful information.

Chapters walk you through forming testable hypotheses, choosing clear success metrics, setting up fair comparisons, and interpreting results without overclaiming. You'll also learn plain-language explanations of sample size, statistical noise, and common pitfalls.

The book includes short exercises and prompts that help you practice designing experiments, tracking outcomes, and communicating findings. It also covers basic ethical safeguards-how to avoid harming user experience, monitor unintended effects, and stop tests that create problems-so experimentation remains responsible as well as effective.