The result? Companies overspend on marketing to drive engagement with products and services that people don't want and won't help them be happier and healthier.Start at the End offers a new framework for design, grounded in behavioral science. Technology executive and behavioral scientist Matt Wallaert argues that the purpose of everything is behavior change. By starting with outcomes instead of processes, the most effective companies understand what people want to do and why they aren't already doing it, then build products and services to bridge the gap.Wallaert is a behavioral psychologist who has led product design at organizations ranging from startups like Clover Health to industry leaders such as Microsoft. Whether dissecting the success behind Uber's ridesharing service or Flamin' Hot Cheetos, he underscores with clarity and humor how this approach can improve the way we work and live. This is an essential roadmap for building products that matter--and changing behavior for the better.

    And create Power it must, for without it your business is at risk. He explains why invention always comes first and then develops the Power Progression to enable you to target when your Power must be established: in the Origination, Take-Off or Stability phases of your business.Every business faces a do-or-die strategy moment: a crux directional choice made amidst swirling uncertainty. To get this right you need at your fingertips a real-time strategy compass to discern your true north. 7 Powers is that compass.

    Whether you want to cross over into user experience or you're a seasoned practitioner trying to drag your organization forward, this book gives you tools and insight for doing more with less.

    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

    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

    The central premise of Strategic Project Management Made Simple is that most projects and strategies never get off the ground because of adhoc, haphazard, and obsolete methods used to turn their ideas into coherent and actionable plans. Strategic Project Management Made Simple is the first book to couple a step-by-step process with an interactive thinking tool that takes a strategic approach to designing projects and action initiatives. Strategic Project Management Made Simple builds a solid platform upon four critical questions that are vital for teams to intelligently answer in order to create their own strong, strategic foundation. These questions are: 1. What are we trying to accomplish and why? 2. How will we measure success? 3. What other conditions must exist? 4. How do we get there? This fresh approach begins with clearly understanding the what and why of a project - comprehending the bigger picture goals that are often given only lip service or cursory reviews. The second and third questions clarify success measures and identify the risky assumptions that can later cause pain if not spotted early. The how questions - what are the activities, budgets, and schedules - comes last in our four-question system. By contrast, most project approaches prematurely concentrate on the how without first adequately addressing the three other questions. These four questions guide readers into fleshing out a simple, yet sophisticated, mental workbench called the Logical Framework - a Systems Thinking paradigm that lays out one's own project strategy in an easily accessible, interactive 4x4 matrix. The inclusion of memorable features and concepts (four critical questions, LogFrame matrix, If-then thinking, and Implementation Equation) make this book unique.

    You'll get quick, easy-to-follow advice on modern practices: which to use, and when they should be applied. This book avoids current fashion trends and marketing hype; instead, readers find page after page of solid advice, all tried and tested in the real world.Aimed at beginning to intermediate programmers, Ship It! will show you:Which tools help, and which don't How to keep a project moving Approaches to scheduling that work How to build developers as well as product What's normal on a project, and what's not How to manage managers, end-users and sponsors Danger signs and how to fix them Few of the ideas presented here are controversial or extreme; most experienced programmers will agree that this stuff works. Yet 50 to 70 percent of all project teams in the U.S. aren't able to use even these simple, well-accepted practices effectively. This book will help you get started.Ship It! begins by introducing the common technical infrastructure that every project needs to get the job done. Readers can choose from a variety of recommended technologies according to their skills and budgets. The next sections outline the necessary steps to get software out the door reliably, using well-accepted, easy-to-adopt, best-of-breed practices that really work.Finally, and most importantly, Ship It! presents common problems that teams face, then offers real-world advice on how to solve them.

    Wonderfully applicable to everything in life, and funny as hell.’ Nassim Nicholas TalebTo be brilliant, you have to be irrationalWhy is Red Bull so popular – even though everyone hates the taste? Why do countdown boards on platforms take away the pain of train delays? And why do we prefer stripy toothpaste?We think we are rational creatures. Economics and business rely on the assumption that we make logical decisions based on evidence.But we aren’t, and we don’t.In many crucial areas of our lives, reason plays a vanishingly small part. Instead we are driven by unconscious desires, which is why placebos are so powerful. We are drawn to the beautiful, the extravagant and the absurd – from lavish wedding invitations to tiny bottles of the latest fragrance. So if you want to influence people’s choices you have to bypass reason. The best ideas don’t make rational sense: they make you feel more than they make you think.Rory Sutherland is the Ogilvy advertising legend whose TED Talks have been viewed nearly 7 million times. In his first book he blends cutting-edge behavioural science, jaw-dropping stories and a touch of branding magic, on his mission to turn us all into idea alchemists. The big problems we face every day, whether as an individual or in society, could very well be solved by letting go of logic and embracing the irrational.

    In Making Numbers Count, Chip Heath argues that it's crucial for us all to be able to interpret and communicate numbers and stats more effectively so that data comes alive. By combining years of research into making ideas stick with a deep understanding of how the brain really works, Heath has discerned six critical principles that will give anyone the tools to communicate numbers with more transparency and meaning. These ideas - including simplicity, concreteness and familiarity - reveal what's compelling about a number and show how to transform it into its most understandable form. And if we can do this when we're using numbers, Heath tells us, then the idea of data won't drive people to panic. We're not hungry for numbers - there's an unfathomable amount of information being generated each year - but we are starved for meaning. The ability to communicate and understand numbers has never mattered more.

    But there's often mystery around product research, with the feeling that you need to be a research Zen master to gather anything useful. Fact is, anyone can conduct product research. With this quick reference guide, you'll learn a common language and set of tools to help you carry out research in an informed and productive manner.This book contains four sections, including a brief introduction to UX research, planning and preparation, facilitating research, and analysis and reporting. Each chapter includes a short exercise so you can quickly apply what you've learned.Learn what it takes to ask good research questionsKnow when to use quantitative and qualitative research methodsExplore the logistics and details of coordinating a research sessionUse softer skills to make research seem natural to participantsLearn tools and approaches to uncover meaning in your raw dataCommunicate your findings with a framework and structure

    Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas: Data issues -- The opportunities and ambiguities of the data space are evident in discussions around privacy, the implications of data-centric industries, and the debate about the phrase “data science” itself. The application of data: products and processes – A “data product” can emerge from virtually any domain, including everything from data startups to established enterprises to media/journalism to education and research. Data science and data tools -- The tools and technologies that drive data science are of course essential to this space, but the varied techniques being applied are also key to understanding the big data arena.The business of data – Take a closer look at the actions connected to data -- the finding, organizing, and analyzing that provide organizations of all sizes with the information they need to compete.

    Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to fool rather than to inform.

    In order to ensure a high level of knowledge and training, the International Requirements Engineering Board (IREB) worked out the training concept “Certified Professional for Requirements Engineering”, which defines a requirements engineer’s practical skills on different training levels. The book covers the different subjects of the curriculum for the “Certified Professional for Requirements Engineering” (CPRE) defined by the International Requirements Engineering Board (IREB). It supports its readers in preparing for the test to achieve the “Foundation Level” of the CPRE.

    Maybe you re going for MCSA first, then MCSE. Maybe you need to upgrade your current credentials. Now, direct from Microsoft, this set brings together all the study resources you ll need. You get the brand-new Second Edition of all four books: for Exam 70-290 (Managing and Maintaining a Windows Server Environment), 70-291 and 70-293 (Network Infrastructure), and 70-294 (Active Directory). What s new here? Deeper coverage, more case studies, more troubleshooting, plus significant new coverage: Emergency Management Services, DNS, WSUS, Post-Setup Security Updates, traffic monitoring, Network Access Quarantine Control, and much more. There are more than 1,200 highly customizable CD-based practice questions. And, for those who don t have easy acess to Windows Server 2003, there s a 180-day eval version. This package isn t cheap, but there s help there, too: 15% discount coupons good toward all four exams. Bill Camarda, from the August 2006 href="http://www.barnesandnoble.com/newslet... Only

    Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.In this book, you'll learn: - Why "statistically significant" doesn't necessarily imply practical significance- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas- How and how not to ask questions, design experiments, and work with data- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates- Why false positives are much more common than "significant at the 5% level" would suggestBy walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.