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.”

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 leadership and learning expert shows you how to change your behavior, develop soft skills, and achieve personal and professional growth through a series of small experiments she calls “Flexing.” A personnel shift at your organization puts you into a leadership role you don't feel prepared for. Your boss tells you that you seem aloof and unapproachable in client meetings. You need to win the support of the members of a local community group for a project you feel passionate about. Addressing these diverse issues depends on improving your soft skills—such as time management, team building, communication and listening, creative thinking, and problem-solving. But this isn’t as easy as it may seem. Sue Ashford, the chair of the Management and Organizations group at the Ross School of Business, has the solution. In this timely book, she introduces Flexing—a technique individuals, teams, and entire organizations can use to learn, grow, and develop their skills and knowledge with every new project, work assignment, and problem. Flexing empowers you to embrace any challenge and adapt to any change, yielding practical, valuable takeaways that ensure growth. Flexing helps you move ahead when you’re confronted with a new challenge, or simply want to develop a vital skill. It’s a journey that begins with setting a flex goal—stating explicitly what you want to learn and how you want to grow. Once that flex goal is set, you then begin to run experiments, solicit feedback from peers or colleagues, and monitor and tweak your progress on the way to achieving your goal. Flexing can be tailored to each person, allowing you to reflect on your own experiences and incorporate the lessons you learn in the next project you tackle. It’s a growth mindset that will help you become the best version of yourself. Flexing also works with teams and organizations. Ashford teaches small groups and large how to implement flexing to ensure their members are ready for new challenges. With more people moving to remote working full-time and developing new ways of collaborating in teams, this warm and practical guide will help every professional and any organization on the journey to greater effectiveness.

The tools and techniques used in Design of Experiments (DoE) have been proven successful in meeting the challenge of continuous improvement in many manufacturing organisations over the last two decades. However research has shown that application of this powerful technique in many companies is limited due to a lack of statistical knowledge required for its effective implementation.Although many books have been written on this subject, they are mainly by statisticians, for statisticians and not appropriate for engineers. Design of Experiments for Engineers and Scientists overcomes the problem of statistics by taking a unique approach using graphical tools. The same outcomes and conclusions are reached as through using statistical methods and readers will find the concepts in this book both familiar and easy to understand.This new edition includes a chapter on the role of DoE within Six Sigma methodology and also shows through the use of simple case studies its importance in the service industry. It is essential reading for engineers and scientists from all disciplines tackling all kinds of manufacturing, product and process quality problems and will be an ideal resource for students of this topic. - Written in non-statistical language, the book is an essential and accessible text for scientists and engineers who want to learn how to use DoE - Explains why teaching DoE techniques in the improvement phase of Six Sigma is an important part of problem solving methodology - New edition includes a full chapter on DoE for services as well as case studies illustrating its wider application in the service industry

Getting numbers is easy; getting numbers you can trust is hard. This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B tests. Based on practical experiences at companies that each run more than 20,000 controlled experiments a year, the authors share examples, pitfalls, and advice for students and industry professionals getting started with experiments, plus deeper dives into advanced topics for practitioners who want to improve the way they make data-driven decisions. Learn how to • Use the scientific method to evaluate hypotheses using controlled experiments • Define key metrics and ideally an Overall Evaluation Criterion • Test for trustworthiness of the results and alert experimenters to violated assumptions • Build a scalable platform that lowers the marginal cost of experiments close to zero • Avoid pitfalls like carryover effects and Twyman's law • Understand how statistical issues play out in practice.

There is no doubt that this book will be well received by those who are fortunate enough to come across it. This book will be of use to the growing number of people involved either as purchasers or providers of research. Don′t go to work without it! --Health Services Management Research Journal "I would recommend [this book] to a colleague as a useful companion text for students. I would say that this is an engaging discussion of experimental research for social, behavioral, and health science students. The writing style is fresh and entertaining, and draws the willing reader into thinking through the process of designing and conducting experimental research. It is not a ′cookbook′ or a compendium of facts. Rather, it is a pragmatic and thoughtful description intended to help students understand how to design meaningful experiments, and by understanding that, they will also understand how to interpret research they do not conduct themselves." --Katharyn A. May, School of Nursing, Vanderbilt University "This slim but packed volume is written for prospective researchers in the social and health sciences. The writing style is lively, encouraging, upbeat. R. Barker Bausell brings science down to earth without sacrificing respect for rigor and complexity. . . . Recommended for all institutions with undergraduate or graduate research requirements in the social and health sciences." --Choice Tired of research methods books that tell how to perform a research study without any mention of the why behind doing research? Aimed at communicating the excitement and responsibility of the research process, this remarkable volume enables you to evaluate beforehand whether a prospective research study has the potential to either improve the human condition, contribute to theory formation, or explain the etiology of a significant phenomenon rather than to produce just another "publishable" study. By emphasizing how to think about and strategize a research study, R. Barker Bausell shows you the important steps of a scientific study--from the formulation of the problem to the write-up of the results. Replete with illustrative examples drawn from the social, health, and behavioral sciences, this volume is a must for all serious researchers.

A brief, authoritative introduction to field experimentation in the social sciences. Written by two leading experts on experimental methods, this concise text covers the major aspects of experiment design, analysis, and interpretation in clear language. Students learn how to design randomized experiments, analyze the data, and interpret the findings. Beyond the authoritative coverage of the basic methodology, the authors include numerous features to help students achieve a deeper understanding of field experimentation, including rich examples from the social science literature, problem sets and discussions, data sets, and further readings.