Don't fly blind. See how the power of experiments works for you. When it comes to improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. They discover that intuition, experience, and big data alone don't work. What does? Running disciplined business experiments. And what if companies roll out new products or introduce new customer experiences without running these experiments? They fly blind. That's what Harvard Business School professor Stefan Thomke shows in this rigorously researched and eye-opening book. It guides you through best practices in business experimentation, illustrates how these practices work at leading companies, and answers some fundamental questions: What makes a good experiment? How do you test in online and brick-and-mortar businesses? In B2B and B2C? How do you build an experimentation culture? Also, best practice means running many experiments. Indeed, some hugely successful companies, such as Amazon, Booking.com, and Microsoft, run tens of thousands of controlled experiments annually, engaging millions of users. Thomke shows us how these and many other organizations prove that experimentation provides significant competitive advantage. How can managers create this capability at their own companies? Essential is developing an experimentation organization that prizes the science of testing and puts the discipline of experimentation at the center of its innovation process. While it once took companies years to develop the tools for such large-scale experiments, advances in technology have put these tools at the fingertips of almost any business professional. By combining the power of software and the rigor of controlled experiments, today's managers can make better decisions, create magical customer experiences, and generate big financial returns. Experimentation Works is your guidebook to a truly new way of thinking and innovating.

A practical guide to effective business model testing 7 out of 10 new products fail to deliver on expectations. Testing Business Ideas aims to reverse that statistic. In the tradition of Alex Osterwalder’s global bestseller Business Model Generation, this practical guide contains a library of hands-on techniques for rapidly testing new business ideas. Testing Business Ideas explains how systematically testing business ideas dramatically reduces the risk and increases the likelihood of success for any new venture or business project. It builds on the internationally popular Business Model Canvas and Value Proposition Canvas by integrating Assumptions Mapping and other powerful lean startup-style experiments. Testing Business Ideas uses an engaging 4-color format to: Increase the success of any venture and decrease the risk of wasting time, money, and resources on bad ideas Close the knowledge gap between strategy and experimentation/validation Identify and test your key business assumptions with the Business Model Canvas and Value Proposition Canvas A definitive field guide to business model testing, this book features practical tips for making major decisions that are not based on intuition and guesses. Testing Business Ideas shows leaders how to encourage an experimentation mindset within their organization and make experimentation a continuous, repeatable process.

Every company's ability to innovate depends on a process of experimentation whereby new products and services are created and existing ones improved. But the cost of experimentation often limits innovation. New technologies--including computer modeling and simulation--promise to lift that constraint by changing the economics of experimentation. Never before has it been so economically feasible to ask "what-if" questions and generate preliminary answers. These technologies amplify the impact of learning, paving the way for higher R&D performance and innovation and new ways of creating value for customers.In Experimentation Matters, Stefan Thomke argues that to unlock such potential, companies must not only understand the power of experimentation and new technologies, but also change their processes, organization, and management of innovation. He explains why experimentation is so critical to innovation, underscores the impact of new technologies, and outlines what managers must do to integrate them successfully. Drawing on a decade of research in multiple industries as diverse as automotive, semiconductors, pharmaceuticals, chemicals, and banking, Thomke provides striking illustrations of how companies drive strategy and value creation by accommodating their organizations to new experimentation technologies.As in the outcome of any effective experiment, Thomke also reveals where that has not happened, and explains why. In particular, he shows managers how to: implement "front-loaded" innovation processes that identify potential problems before resources are committed and design decisions locked in; experiment and test frequently without overloading their organizations; integrate new technologies into the current innovation system; organize for rapid experimentation; fail early and often, but avoid wasteful "mistakes"; and manage projects as experiments.Pointing to the custom integrated circuit industry--a multibillion dollar market--Thomke also shows what happens when new experimentation technologies are taken beyond firm boundaries, thereby changing the way companies create new products and services with customers and suppliers. Probing and thoughtful, Experimentation Matters will influence how both executives and academics think about experimentation in general and innovation processes in particular. Experimentation has always been the engine of innovation, and Thomke reveals how it works today.

Business experimentation can not only create measurable value for organizations, it can provide the inspiration to break with the habits of the past by dealing with challenges and exploiting opportunities. This book is a step-by-step, practical guide to the six-stage business experiment process, from understanding the problem or opportunity to creating a hypothesis, planning the experiment and analysing the findings. It explores the top design criteria for successful and impactful business experiments and includes valuable case studies covering problem solving, performance improvement and strategic innovation. To support the process, Business Experimentation also includes downloadable, editable templates, worksheets and activities for use in ideation and planning sessions. This business experiment methodology can be used to support a one-off initiative or to underpin desired behaviours as part of a wider organizational change programme, as experimentation encourages people to be bold, take risks and seek new ways of doing things. Based on programmes the authors have run with a variety of leading organizations and with astonishing results, this practical guide provides businesses with the confidence to get started with experimentation and the tools to succeed.

How tech companies like Google, Airbnb, StubHub, and Facebook learn from experiments in our data-driven world—an excellent primer on experimental and behavioral economics Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of different online experiences. Once an esoteric tool for academic research, the randomized controlled trial has gone mainstream. No tech company worth its salt (or its share price) would dare make major changes to its platform without first running experiments to understand how they would influence user behavior. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world. Luca and Bazerman describe the central role experiments play in the tech sector, drawing lessons and best practices from the experiences of such companies as StubHub, Alibaba, and Uber. Successful experiments can save companies money—eBay, for example, discovered how to cut $50 million from its yearly advertising budget—or bring to light something previously ignored, as when Airbnb was forced to confront rampant discrimination by its hosts. Moving beyond tech, Luca and Bazerman consider experimenting for the social good—different ways that governments are using experiments to influence or “nudge” behavior ranging from voter apathy to school absenteeism. Experiments, they argue, are part of any leader's toolkit. With this book, readers can become part of “the experimental revolution.”

How do you develop business in a world certain to be dominated by Internet of Things, Artificial Intelligence, and the Economy of Things?This book brings together leading scholars from academia, established practitioners, and thought-leading consultants who analyse and provide guidance to answer this question. Case studies, checklists, success factors, help readers get a grip on this fast-paced development. At the same time, the authors do not shy away from addressing the hurdles and barriers to implementation. This book provides an essential food-for-thought for leaders and managers, both visionary and pragmatic, who are faced with the responsibility of steering their business through these challenging, yet exciting, times.

Like other sciences and engineering disciplines, software engineering requires a cycle of model building, experimentation, and learning. Experiments are valuable tools for all software engineers who are involved in evaluating and choosing between different methods, techniques, languages and tools. The purpose of Experimentation in Software Engineering is to introduce students, teachers, researchers, and practitioners to empirical studies in software engineering, using controlled experiments. The introduction to experimentation is provided through a process perspective, and the focus is on the steps that we have to go through to perform an experiment. The book is divided into three parts. The first part provides a background of theories and methods used in experimentation. Part II then devotes one chapter to each of the five experiment steps: scoping, planning, execution, analysis, and result presentation. Part III completes the presentation with two examples. Assignments and statistical material are provided in appendixes. Overall the book provides indispensable information regarding empirical studies in particular for experiments, but also for case studies, systematic literature reviews, and surveys. It is a revision of the authors’ book, which was published in 2000. In addition, substantial new material, e.g. concerning systematic literature reviews and case study research, is introduced. The book is self-contained and it is suitable as a course book in undergraduate or graduate studies where the need for empirical studies in software engineering is stressed. Exercises and assignments are included to combine the more theoretical material with practical aspects. Researchers will also benefit from the book, learning more about how to conduct empirical studies, and likewise practitioners may use it as a “cookbook” when evaluating new methods or techniques before implementing them in their organization.