Through consecutive “hook cycles,” these products reach their ultimate goal of bringing users back again and again without depending on costly advertising or aggressive messaging.Hooked is based on Eyal’s years of research, consulting, and practical experience. He wrote the book he wished had been available to him as a start-up founder—not abstract theory, but a how-to guide for building better products. Hooked is written for product managers, designers, marketers, start-up founders, and anyone who seeks to understand how products influence our behavior.Eyal provides readers with:• Practical insights to create user habits that stick.• Actionable steps for building products people love.• Fascinating examples from the iPhone to Twitter, Pinterest to the Bible App, and many other habit-forming products.

    In this lively and groundbreaking new book, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior. They are the Super Crunchers. From internet sites like Google and Amazon that know your tastes better than you do, to a physician's diagnosis and your child's education, to boardrooms and government agencies, this new breed of decision makers are calling the shots. And they are delivering staggeringly accurate results. How can a football coach evaluate a player without ever seeing him play? Want to know whether the price of an airline ticket will go up or down before you buy? How can a formula outpredict wine experts in determining the best vintages? Super crunchers have the answers. In this brave new world of equation versus expertise, Ayres shows us the benefits and risks, who loses and who wins, and how super crunching can be used to help, not manipulate us.Gone are the days of solely relying on intuition to make decisions. No businessperson, consumer, or student who wants to stay ahead of the curve should make another keystroke without reading Super Crunchers.

    It happens because VCs are experts in financings and most entrepreneurs are not. Brad and Jason are out to fix that problem with Venture Deals. This book is long overdue and badly needed."—Fred Wilson, Managing Partner, Union Square Ventures"Feld and Mendelson pack a graduate-level course into this energetic and accessible book.?The authors' frank style and incisive insight make this a must-read for high-growth company entrepreneurs, early-stage investors, and graduate students.?Start here if you want to understand venture capital deal structure and strategies.?I enthusiastically recommend."—Brad Bernthal, CU Boulder, Associate Clinical Professor ofLaw, Technology Policy, Entrepreneurial Law"A must-read book for entrepreneurs.?Brad and Jason demystify the overly complex world of term sheets and M&A, cutting through the legalese and focusing on what really matters.?That's a good thing not just for entrepreneurs, but also for venture capitalists, angels, and lawyers.?Having an educated entrepreneur on the other side of the table means you spend your time negotiating the important issues and ultimately get to the right deal faster."—Greg Gottesman, Managing Director, Madrona Venture Group"Venture Deals is a must-read for any entrepreneur contemplating or currently leading a venture-backed company. Brad and Jason are highly respected investors who shoot straight from the hip and tell it like it is, bringing a level of transparency to a process that is rarely well understood. It's like having a venture capitalist as a best friend who is looking out for your best interests and happy to answer all of your questions."—Emily Mendell, Vice President of Communications,National Venture Capital Association"The adventure of starting and growing a company can be exhilarating or excruciating—or both. Feld and Mendelson have done a masterful job of shedding light on what can either become one of the most helpful or dreadful experiences for entrepreneurs—accepting venture capital into their firm. This book takes the lid off the black box and helps entrepreneurs understand the economics and control provisions of working with a venture partner."—Lesa Mitchell, Vice President, Advancing Innovation, Kauffman Foundation

    His factory is rapidly heading for disaster. So is his marriage. He has ninety days to save his plant—or it will be closed by corporate HQ, with hundreds of job losses. It takes a chance meeting with a colleague from student days—Jonah—to help him break out of conventional ways of thinking to see what needs to be done.The story of Alex's fight to save his plant is more than compulsive reading. It contains a serious message for all managers in industry and explains the ideas which underline the Theory of Constraints (TOC) developed by Eli Goldratt.

    And now there’s a sure-fire way to solve their problems and test solutions: the sprint.While working at Google, designer Jake Knapp created a unique problem-solving method that he coined a “design sprint”—a five-day process to help companies answer crucial questions. His ‘sprints’ were used on everything from Google Search to Chrome to Google X. When he moved to Google Ventures, he joined Braden Kowitz and John Zeratsky, both designers and partners there who worked on products like YouTube and Gmail. Together Knapp, Zeratsky, and Kowitz have run over 100 sprints with their portfolio companies. They’ve seen firsthand how sprints can overcome challenges in all kinds of companies: healthcare, fitness, finance, retailers, and more.A practical guide to answering business questions, Sprint is a book for groups of any size, from small startups to Fortune 100s, from teachers to non-profits. It’s for anyone with a big opportunity, problem, or idea who needs to get answers today.

    In a brilliant and unconventional book, Phil Rosenzweig unmasks the delusions that are commonly found in the corporate world. These delusions affect the business press and academic research, as well as many bestselling books that promise to reveal the secrets of success or the path to greatness. Such books claim to be based on rigorous thinking, but operate mainly at the level of storytelling. They provide comfort and inspiration, but deceive managers about the true nature of business success.The most pervasive delusion is the Halo Effect. When a company's sales and profits are up, people often conclude that it has a brilliant strategy, a visionary leader, capable employees, and a superb corporate culture. When performance falters, they conclude that the strategy was wrong, the leader became arrogant, the people were complacent, and the culture was stagnant. In fact, little may have changed -- company performance creates a Halo that shapes the way we perceive strategy, leadership, people, culture, and more.Drawing on examples from leading companies including Cisco Systems, IBM, Nokia, and ABB, Rosenzweig shows how the Halo Effect is widespread, undermining the usefulness of business bestsellers from "In Search of Excellence" to "Built to Last" and "Good to Great."Rosenzweig identifies nine popular business delusions. Among them:"The Delusion of Absolute Performance: " Company performance is relative to competition, not absolute, which is why following a formula can never guarantee results. Success comes from doing things better than rivals, which means that managers have to take risks."The Delusion of Rigorous Research: " Many bestselling authors praise themselves for the vast amount of data they have gathered, but forget that if the data aren't valid, it doesn't matter how much was gathered or how sophisticated the research methods appear to be. They trick the reader by substituting sizzle for substance."The Delusion of Single Explanations: " Many studies show that a particular factor, such as corporate culture or social responsibility or customer focus, leads to improved performance. But since many of these factors are highly correlated, the effect of each one is usually less than suggested.In what promises to be a landmark book, "The Halo Effect" replaces mistaken thinking with a sharper understanding of what drives business success and failure. "The Halo Effect" is a guide for the thinking manager, a way to detect errors in business research and to reach a clearer understanding of what drives business success and failure.Skeptical, brilliant, iconoclastic, and mercifully free of business jargon, Rosenzweig's book is nevertheless dead serious, making his arguments about important issues in an unsparing and direct way that will appeal to a broad business audience. For managers who want to separate fact from fiction in the world of business, "The Halo Effect" is essential reading -- witty, often funny, and sharply argued, it's an antidote to so much of the conventional thinking that clutters business bookshelves.

    

    It is not about visionary product concepts or visionary products or visionary market insights. Nor is it about just having a corporate vision. This is a book about something far more important, enduring, and substantial. This is a book about visionary companies." So write Jim Collins and Jerry Porras in this groundbreaking book that shatters myths, provides new insights, and gives practical guidance to those who would like to build landmark companies that stand the test of time.Drawing upon a six-year research project at the Stanford University Graduate School of Business, Collins and Porras took eighteen truly exceptional and long-lasting companies -- they have an average age of nearly one hundred years and have outperformed the general stock market by a factor of fifteen since 1926 -- and studied each company in direct comparison to one of its top competitors. They examined the companies from their very beginnings to the present day -- as start-ups, as midsize companies, and as large corporations. Throughout, the authors asked: "What makes the truly exceptional companies different from other companies?"What separates General Electric, 3M, Merck, Wal-Mart, Hewlett-Packard, Walt Disney, and Philip Morris from their rivals? How, for example, did Procter & Gamble, which began life substantially behind rival Colgate, eventually prevail as the premier institution in its industry? How was Motorola able to move from a humble battery repair business into integrated circuits and cellular communications, while Zenith never became dominant in anything other than TVs? How did Boeing unseat McDonnell Douglas as the world's best commercial aircraft company -- what did Boeing have that McDonnell Douglas lacked?By answering such questions, Collins and Porras go beyond the incessant barrage of management buzzwords and fads of the day to discover timeless qualities that have consistently distinguished out-standing companies. They also provide inspiration to all executives and entrepreneurs by destroying the false but widely accepted idea that only charismatic visionary leaders can build visionary companies.Filled with hundreds of specific examples and organized into a coherent framework of practical concepts that can be applied by managers and entrepreneurs at all levels, Built to Last provides a master blueprint for building organizations that will prosper long into the twenty-first century and beyond.

    This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company, from analysts and management to the C-Suite and the board.Through interviews and examples from data scientists and analytics leaders in a variety of industries, author Carl Anderson explains the analytics value chain you need to adopt when building predictive business models—from data collection and analysis to the insights and leadership that drive concrete actions. You’ll learn what works and what doesn’t, and why creating a data-driven culture throughout your organization is essential. Start from the bottom up: learn how to collect the right data the right way Hire analysts with the right skills, and organize them into teams Examine statistical and visualization tools, and fact-based story-telling methods Collect and analyze data while respecting privacy and ethics Understand how analysts and their managers can help spur a data-driven culture Learn the importance of data leadership and C-level positions such as chief data officer and chief analytics officer

    It:Incorporates the "Business Model Canvas" as the organizing principle for startup hypothesesProvides separate paths and advice for web/mobile products versus physical productsOffers a wealth of detailed instruction on how to get, keep, and grow customers recognizing the different techniques for web and physical channelsAnd teaches a "new math" for startups: "metrics that matter for fueling growth"The Startup Owner's Manual is a step-by-step, near-encyclopedic reference manual or "how to" for building a successful, scalable startup. Want to know what to do the first, week, month or year?What's the right distribution channel for your product?How to get traffic to your web site? …and how to activate customers or users on arrival?Who are the right "first customers," and why? …plus many more great tips in nearly 500 pages, complete with index, glossary, and Customer Development ChecklistsIt's the indispensible reference guide for any startup founder, entrepreneur, investor or educator.

    The goal of the book is to share the techniques of the best companies. This book is aimed primarily at Product Managers working on technology-powered products. That includes the hundreds of "tech companies" like Google, Facebook, Amazon, Twitter and the like, as well as the thousands of companies moving to leverage technology (financial companies, media companies, retailers, manufacturers, nearly every industry). Inspired covers companies from early stage start-ups to large, established companies. The products might be consumer products or devices, business services for small businesses to enterprises, internal tools, and developer platforms.Inspired is secondarily aimed at the designers, engineers, user researchers and data scientists that work closely with the product managers on product teams at these same companies.

    Less inventory. The highest quality cars with the fewest defects of any competing manufacturer. In factories around the globe, Toyota consistently raises the bar for manufacturing, product development, and process excellence. The result is an amazing business success story: steadily taking market share from price-cutting competitors, earning far more profit than any other automaker, and winning the praise of business leaders worldwide.The Toyota Way reveals the management principles behind Toyota's worldwide reputation for quality and reliability. Dr. Jeffrey Liker, a renowned authority on Toyota's Lean methods, explains how you can adopt these principles--known as the "Toyota Production System" or "Lean Production"--to improve the speed of your business processes, improve product and service quality, and cut costs, no matter what your industry.Drawing on his extensive research on Toyota, Dr. Liker shares his insights into the foundational principles at work in the Toyota culture. He explains how the Toyota Production System evolved as a new paradigm of manufacturing excellence, transforming businesses across industries. You'll learn how Toyota fosters employee involvement at all levels, discover the difference between traditional process improvement and Toyota's Lean improvement, and learn why companies often think they are Lean--but aren't.

    But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

    In performance, how you organize can be the key to growth. In the past five years, the business world has seen the birth of a new breed of company - the Exponential Organization - that has revolutionized how a company can accelerate its growth by using technology.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.