Management

#1 Best Seller in Management Science (Amazon International, France, Germany, Netherlands, Poland, Sweden – Feb 2026) and in other categories. Available worldwide on Amazon (Hardcover, Paperback, Kindle) and across all major digital platforms, including Leanpub, Apple Books, and Google Play. Learn how to drive your organizational performance with people and AI to 10X and beyond — in impact and relevance.

The deepest tutorial and explanation about EventStorming, straight from the inventor.

Actionable Agile Metrics for Predictability is a comprehensive guide on how to use flow metrics and analytics to get the predictability your customers crave.

Fifty RF‑101 Voodoos arrived in Vietnam. Forty‑seven were shot down in a year. The pilots who survived didn't fly faster aircraft — they cycled through the OODA loop faster than the missiles chasing them. Jeff Sutherland was one of them. He went on to co‑create Scrum. Now, six decades later, he is running AI agents through daily sprints at machine speed — and this book is the playbook for how to do it without getting shot down.

15 Years of Gamification Design Experience and Research in one book. Companies pay thousands of dollars to learn Yu-kai's Octalysis Framework. Get it all here.

This book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this book will lay the foundation for you to begin your journey learning data science. Printed copies of this book are available through Lulu.

This book teaches you to use R to effectively visualize and explore complex datasets. Exploratory data analysis is a key part of the data science process because it allows you to sharpen your question and refine your modeling strategies. This book is based on the industry-leading Johns Hopkins Data Science Specialization.

“Happily purchased. Handy to have these in one place. Thank you!” — Kent Beck “Excellent new thinking on Domain-Driven Design. It's full of real practical experience in getting the most value from domain modelling. Just like the Eric Evans' DDD book, this gives more insight each time you read it.” — Ian Russell

First Principles in Scrum: The Definitive Guide to Agile Mastery First Principles in Scrum explores the deep foundations of Scrum and Agile, authored by Jeff Sutherland—Co-Creator of Scrum and a signatory of the Agile Manifesto. With a new chapter added every sprint, it now is the largest Agile resource ever compiled. Drawing on his background as a senior research scientist trained in radiation physics, Sutherland explains how principles from physics, biology, and neuroscience shape Scrum’s effectiveness. He also delves into the future of Agile, demonstrating how AI, when integrated with Scrum@Scale, can drive exponential productivity—projected to make teams 30-100 times more productive by 2030 . Whether you’re a CEO, manager, or practitioner, this series is essential reading. It’s a roadmap to mastering agility in a rapidly changing world, offering insights into how the iterative cycles of Agile mirror the adaptability of complex systems while embracing AI as a transformative force.

First Principles in Scrum: The Definitive Guide to Agile Mastery First Principles in Scrum explores the deep foundations of Scrum and Agile, authored by Jeff Sutherland—Co-Creator of Scrum and a signatory of the Agile Manifesto. With a new chapter added every sprint, it now is the largest Agile resource ever compiled. Drawing on his background as a senior research scientist trained in radiation physics, Sutherland explains how principles from physics, biology, and neuroscience shape Scrum’s effectiveness. He also delves into the future of Agile, demonstrating how AI, when integrated with Scrum@Scale, can drive exponential productivity—projected to make teams 30-100 times more productive by 2030 . Whether you’re a CEO, manager, or practitioner, this series is essential reading. It’s a roadmap to mastering agility in a rapidly changing world, offering insights into how the iterative cycles of Agile mirror the adaptability of complex systems while embracing AI as a transformative force.

This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and this book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science. Printed copies are available through Lulu.

Technology doesn't fail companies. Relationships do. Connection is the answer. Twelve Practices, Thirty Six experts. Must Haves for AI success. Backed by evidence not opinion. Results in multiples, not by margins.

You know how to build classes in Protégé. But do you know when to attach meaning — and when to wait?Volume 4 of "Mastering Ontology Engineering" introduces SKDL: the Semantic Knowledge Development Lifecycle. Seven stages. One discipline. Zero guesswork.From Aristotle to Description Logic. From taxonomy to executable knowledge.This is where pizza -> philosophy — and philosophy -> engineering.

This ebook on A3 Problem Solving is meant to demystify some of what people know and hear about A3s