The author gives an industry insider's perspective on how to conquer the most difficult PM interview questions. Decode and Conquer will reveal: Frameworks for tackling product design and metrics questions, including the CIRCLES Method™, AARM Method™, and DIGS Method™ Biggest mistakes PM candidates make at the interview Decode what interviewers are looking for, why they're looking for it, and how to deliver it Answers to the most important PM interview questions

    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.

    She stared at a long list of logistics--from hiring to firing, from meeting to messaging, from planning to pitching--and faced a thousand questions and uncertainties. How was she supposed to spin teamwork into value? How could she be a good steward of her reports' careers? What was the secret to leading with confidence in new and unexpected situations?Now, having managed dozens of teams spanning tens to hundreds of people, Julie knows the most important lesson of all: great managers are made, not born. If you care enough to be reading this, then you care enough to be a great manager.The Making of a Manager is a modern field guide packed everyday examples and transformative insights, including:* How to tell a great manager from an average manager (illustrations included) * When you should look past an awkward interview and hire someone anyway * How to build trust with your reports through not being a boss * Where to look when you lose faith and lack the answersWhether you're new to the job, a veteran leader, or looking to be promoted, this is the handbook you need to be the kind of manager you wish you had.

    The Art of Game Design: A Book of Lenses shows that the same basic principles of psychology that work for board games, card games and athletic games also are the keys to making top-quality video games. Good game design happens when you view your game from many different perspectives, or lenses. While touring through the unusual territory that is game design, this book gives the reader one hundred of these lenses—one hundred sets of insightful questions to ask yourself that will help make your game better. These lenses are gathered from fields as diverse as psychology, architecture, music, visual design, film, software engineering, theme park design, mathematics, writing, puzzle design, and anthropology. Anyone who reads this book will be inspired to become a better game designer—and will understand how to do it.

    Porter). We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you catalyze your organization's strategy development and execution.HBR's 10 Must Reads on Strategy will inspire you to:• Distinguish your company from rivals• Clarify what your company will and won't do• Craft a vision for an uncertain future• Create blue oceans of uncontested market space• Use the Balanced Scorecard to measure your strategy• Capture your strategy in a memorable phrase• Make priorities explicit• Allocate resources early• Clarify decision rights for faster decision making"This collection of best-selling articles includes: featured article "What Is Strategy?" by Michael E. Porter, "The Five Competitive Forces That Shape Strategy," "Building Your Company's Vision," "Reinventing Your Business Model," "Blue Ocean Strategy," "The Secrets to Successful Strategy Execution," "Using the Balanced Scorecard as a Strategic Management System," "Transforming Corner-Office Strategy into Frontline Action," "Turning Great Strategy into Great Performance," and "Who Has the D? How Clear Decision Roles Enhance Organizational Performance."

    Unfortunately, reliable guidance on Agile management has been scarce indeed. Now, leading Agile manager Jurgen Appelo fills that gap, introducing a realistic approach to leading, managing, and growing your Agile team or organization. Writing for current managers and developers moving into management, Appelo shares insights that are grounded in modern complex systems theory, reflecting the intense complexity of modern software development. Appelo's Management 3.0 model recognizes that today's organizations are living, networked systems; and that management is primarily about people and relationships. Management 3.0 doesn't offer mere checklists or prescriptions to follow slavishly; rather, it deepens your understanding of how organizations and Agile teams work and gives you tools to solve your own problems. Drawing on his extensive experience as an Agile manager, the author identifies the most important practices of Agile management and helps you improve each of them. Coverage includes - Getting beyond "Management 1.0" control and "Management 2.0" fads - Understanding how complexity affects your organization - Keeping your people active, creative, innovative, and motivated - Giving teams the care and authority they need to grow on their own - Defining boundaries so teams can succeed in alignment with business goals - Sowing the seeds for a culture of software craftsmanship - Crafting an organizational network that promotes success - Implementing continuous improvement that actually works Thoroughly pragmatic-and never trendy-Jurgen Appelo's Management 3.0 helps you bring greater agility to any software organization, team, or project.

    But how do you build the best team organization for your specific goals, culture, and needs? Team Topologies is a practical, step-by-step, adaptive model for organizational design and team interaction based on four fundamental team types and three team interaction patterns. It is a model that treats teams as the fundamental means of delivery, where team structures and communication pathways are able to evolve with technological and organizational maturity.In Team Topologies, IT consultants Matthew Skelton and Manuel Pais share secrets of successful team patterns and interactions to help readers choose and evolve the right team patterns for their organization, making sure to keep the software healthy and optimize value streams.Team Topologies is a major step forward in organizational design for software, presenting a well-defined way for teams to interact and interrelate that helps make the resulting software architecture clearer and more sustainable, turning inter-team problems into valuable signals for the self-steering organization.

    It holds nothing back while detailing the highest highs and lowest lows of what it's really like to run a startup.  Cliff Lerner's online dating startup, Snap Interactive, was running out of money when he bet the company's fortunes on a then-unknown platform called Facebook. The app suddenly began to acquire 100,000 new users daily for free, and soon after the stock price skyrocketed 2,000 percent, setting off an extraordinary chain of events filled with sudden success and painful lessons.You will learn how to:    * IGNITE EXPLOSIVE GROWTH by creating a remarkable product    * Identify the ONLY 3 METRICS THAT MATTER    * Explore valuable VIRAL GROWTH strategies to grow rapidly    * Execute the GENIUS MEDIA HACKS that helped us acquire 100 million users    * Create a thriving culture of PASSIONATE EMPLOYEES and CONSTANT INNOVATIONPRAISE:"A must read for founders and CEOs who want to achieve rapid growth while also building a great product and company." -Payal Kadakia, Founder & Executive Chairman of ClassPass"Explosive Growth is without question one of the most useful and entertaining business books I have ever read. Cliff gives you a roadmap to massively grow your startup with specific tactical lessons made memorable through engaging stories. This book is a must-read." -David Perry, Digital Sales & Business Development Expert at Google, Adobe, Amazon, Startup Advisor"Want to know how to grow your startup to 100 million users? Then this is the book for you. Explosive Growth gives step-by-step instructions, case studies and proven tactics on how to explode your growth." -Entrepreneur Magazine by Syed Balkhi"Lessons for startups and CEOs on growth hacking, marketing, and innovation from one of the smartest founders I know." -Andrew Weinreich, Inventor of Social Networking

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts’ predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight, and Tetlock has spent the past decade trying to figure out why. What makes some people so good? And can this talent be taught?   In Superforecasting, Tetlock and coauthor Dan Gardner offer a masterwork on prediction, drawing on decades of research and the results of a massive, government-funded forecasting tournament. The Good Judgment Project involves tens of thousands of ordinary people—including a Brooklyn filmmaker, a retired pipe installer, and a former ballroom dancer—who set out to forecast global events. Some of the volunteers have turned out to be astonishingly good. They’ve beaten other benchmarks, competitors, and prediction markets. They’ve even beaten the collective judgment of intelligence analysts with access to classified information. They are "superforecasters."   In this groundbreaking and accessible book, Tetlock and Gardner show us how we can learn from this elite group. Weaving together stories of forecasting successes (the raid on Osama bin Laden’s compound) and failures (the Bay of Pigs) and interviews with a range of high-level decision makers, from David Petraeus to Robert Rubin, they show that good forecasting doesn’t require powerful computers or arcane methods. It involves gathering evidence from a variety of sources, thinking probabilistically, working in teams, keeping score, and being willing to admit error and change course. Superforecasting offers the first demonstrably effective way to improve our ability to predict the future—whether in business, finance, politics, international affairs, or daily life—and is destined to become a modern classic.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions.Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more.Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses Helps readers see how to shepherd predictive analytics projects through their companies Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies.

    In 1999, Tony introduced Clayton Christensen to the idea that “people have underlying needs or processes in their lives, that they are addressing in some way right now”—an insight that was to become Jobs-to-be-Done Theory. For 25 years, Ulwick and his company, Strategyn, have helped over 400 companies, applying Jobs-to-be-Done Theory in practice with a success rate of 86%—a 5-fold improvement. “Ulwick has taken the guesswork out of innovation,” says the ‘father of modern marketing,’ Philip Kotler, S. C. Johnson Distinguished Professor of International Marketing at the Kellogg School of Management, Northwestern University. “He has done this by introducing us to Jobs-to-be-Done theory, and converting it to practice using his rigorous innovation process known as Outcome-Driven Innovation. I call him the Deming of Innovation because, more than anyone else, Tony has turned innovation into a science,” adds Kotler. LEARN - Why companies fail at innovation and how to avoid critical mistakes. - How to employ the Jobs-to-be-Done Theory Needs Framework to categorize, define, capture, and prioritize customer needs. - A Jobs-to-be-Done Growth Strategy Matrix to categorize, understand, and employ the 5 strategies that drive growth. - Outcome-Based Segmentation: how does it create new opportunities? - The details of the innovation process known as Outcome-Driven Innovation. It ties customer-defined metrics to the customer’s Job-to-be-Done, transforming every aspect of opportunity discovery, marketing and innovation. - The Language of Job-to-be-Done – the syntax and lexicon of innovation.

    Scaling Up: How a Few Companies Make It...and Why the Rest Don't is the first major revision of this business classic. In Scaling Up, Harnish and his team share practical tools and techniques for building an industry-dominating business. These approaches have been honed from over three decades of advising tens of thousands of CEOs and executives and helping them navigate the increasing complexities (and weight) that come with scaling up a venture. This book is written so everyone -- from frontline employees to senior executives -- can get aligned in contributing to the growth of a firm. There's no reason to do it alone, yet many top leaders feel like they are the ones dragging the rest of the organization up the S-curve of growth. The goal of this book is to help you turn what feels like an anchor into wind at your back -- creating a company where the team is engaged; the customers are doing your marketing; and everyone is making money. To accomplish this, Scaling Up focuses on the four major decision areas every company must get right: People, Strategy, Execution, and Cash. The book includes a series of new one-page tools including the updated One-Page Strategic Plan and the Rockefeller Habits ChecklistTM, which more than 40,000 firms around the globe have used to scale their companies successfully -- many to $1 billion and beyond. Running a business is ultimately about freedom. Scaling Up shows business leaders how to get their organizations moving in sync to create something significant and enjoy the ride.

    With this practical, hands-on book, you’ll learn how to do it faster and smarter using Lean UX techniques. UX expert Laura Klein shows you what it takes to gather valuable input from customers, build something they’ll truly love, and reduce the time it takes to get your product to market.No prior experience in UX or design is necessary to get started. If you’re an entrepreneur or an innovator, this book puts you right to work with proven tips and tools for researching, identifying, and designing an intuitive, easy-to-use product.Determine whether people will buy your product before you build itListen to your customers throughout the product’s lifecycleUnderstand why you should design a test before you design a productGet nine tools that are critical to designing your productDiscern the difference between necessary features and nice-to-havesLearn how a Minimum Viable Product affects your UX decisionsUse A/B testing in conjunction with good UX practicesSpeed up your product development process without sacrificing quality