{"product_id":"how-to-measure-anything-workbook-isbn-9781118752364","title":"How to Measure Anything Workbook","description":"\u003cb\u003eThe invaluable companion to the new edition of the bestselling \u003ci\u003eHow to Measure Anything\u003c\/i\u003e\u003c\/b\u003e  \u003cp\u003eThis companion workbook to the new edition of the insightful and eloquent \u003ci\u003eHow to Measure Anything\u003c\/i\u003e walks readers through sample problems and exercises in which they can master and apply the methods discussed in the book.\u003c\/p\u003e \u003cp\u003eThe book explains practical methods for measuring a variety of intangibles, including approaches to measuring customer satisfaction, organizational flexibility, technology risk, technology ROI, and other problems in business, government, and not-for-profits.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eCompanion to the revision of the bestselling \u003ci\u003eHow to Measure Anything\u003c\/i\u003e\n\u003c\/li\u003e \u003cli\u003eProvides chapter-by-chapter exercises\u003c\/li\u003e \u003cli\u003eWritten by industry leader Douglas Hubbard\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWritten by recognized expert Douglas Hubbard—creator of Applied Information Economics—\u003ci\u003eHow to Measure Anything Workbook\u003c\/i\u003e illustrates how the author has used his approach across various industries and how any problem, no matter how difficult, ill defined, or uncertain can lend itself to measurement using proven methods.\u003c\/p\u003e  \u003cp\u003e\u003ci\u003ePreface ix\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eAbout the Author xi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Questions 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 The Challenge of Intangibles 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 3\u003c\/p\u003e \u003cp\u003eChapter Overview 3\u003c\/p\u003e \u003cp\u003eQuestions 4\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 An Intuitive Measurement Habit: Eratosthenes, Enrico, and Emily 9\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 9\u003c\/p\u003e \u003cp\u003eChapter Overview 9\u003c\/p\u003e \u003cp\u003eQuestions 10\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 The Illusion of Intangibles: Why Immeasurables Aren’t 15\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 15\u003c\/p\u003e \u003cp\u003eChapter Overview 15\u003c\/p\u003e \u003cp\u003eQuestions 16\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Clarifying the Measurement Problem 23\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 23\u003c\/p\u003e \u003cp\u003eChapter Overview 23\u003c\/p\u003e \u003cp\u003eQuestions 24\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Calibrated Estimates: How Much Do You Know Now? 31\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 31\u003c\/p\u003e \u003cp\u003eChapter Overview 31\u003c\/p\u003e \u003cp\u003eQuestions 32\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Quantifying Risk through Modeling 39\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 39\u003c\/p\u003e \u003cp\u003eChapter Overview 39\u003c\/p\u003e \u003cp\u003eQuestions 40\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Quantifying the Value of Information 47\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 47\u003c\/p\u003e \u003cp\u003eChapter Overview 47\u003c\/p\u003e \u003cp\u003eQuestions 48\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 The Transition: From What to Measure to How to Measure 55\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 55\u003c\/p\u003e \u003cp\u003eChapter Overview 55\u003c\/p\u003e \u003cp\u003eQuestions 56\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Sampling Reality: How Observing Some Things Tells Us about All Things 61\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 61\u003c\/p\u003e \u003cp\u003eChapter Overview 61\u003c\/p\u003e \u003cp\u003eQuestions 62\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Bayes: Adding to What You Know Now 69\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 69\u003c\/p\u003e \u003cp\u003eChapter Overview 69\u003c\/p\u003e \u003cp\u003eQuestions 70\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Preference and Attitudes: The Softer Side of Measurement 77\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 77\u003c\/p\u003e \u003cp\u003eChapter Overview 77\u003c\/p\u003e \u003cp\u003eQuestions 78\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 The Ultimate Measurement Instrument: Human Judges 87\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 87\u003c\/p\u003e \u003cp\u003eChapter Overview 87\u003c\/p\u003e \u003cp\u003eQuestions 88\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 New Measurement Instruments for Management 93\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 93\u003c\/p\u003e \u003cp\u003eChapter Overview 93\u003c\/p\u003e \u003cp\u003eQuestions 94\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 A Universal Measurement Method: Applied Information Economics 99\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 99\u003c\/p\u003e \u003cp\u003eChapter Overview 99\u003c\/p\u003e \u003cp\u003eQuestions 100\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Answers 105\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 1 The Challenge of Intangibles 107\u003c\/p\u003e \u003cp\u003eChapter 2 An Intuitive Measurement Habit: Eratosthenes, Enrico, and Emily 109\u003c\/p\u003e \u003cp\u003eChapter 3 The Illusion of Intangibles: Why Immeasurables Aren’t 111\u003c\/p\u003e \u003cp\u003eChapter 4 Clarifying the Measurement Problem 115\u003c\/p\u003e \u003cp\u003eChapter 5 Calibrated Estimates: How Much Do You Know Now? 117\u003c\/p\u003e \u003cp\u003eChapter 6 Quantifying Risk through Modeling 119\u003c\/p\u003e \u003cp\u003eChapter 7 Quantifying the Value of Information 125\u003c\/p\u003e \u003cp\u003eChapter 8 The Transition: From What to Measure to How to Measure 129\u003c\/p\u003e \u003cp\u003eChapter 9 Sampling Reality: How Observing Some Things Tells Us about All Things 131\u003c\/p\u003e \u003cp\u003eChapter 10 Bayes: Adding to What You Know Now 135\u003c\/p\u003e \u003cp\u003eChapter 11 Preference and Attitudes: The Softer Side of Measurement 137\u003c\/p\u003e \u003cp\u003eChapter 12 The Ultimate Measurement Instrument: Human Judges 139\u003c\/p\u003e \u003cp\u003eChapter 13 New Measurement Instruments for Management 141\u003c\/p\u003e \u003cp\u003eChapter 14 A Universal Measurement Method: Applied Information Economics 143\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eDOUGLAS W. HUBBARD\u003c\/b\u003e is the inventor of Applied Information Economics (AIE). He is an internationally recognized expert in the field of decision analysis and challenging measurements and is a popular speaker at numerous conferences. AIE method has been applied to dozens of large Fortune 500 IT investments, military logistics, venture capital, aerospace, and environmental issues. Doug is the author of \u003ci\u003eHow to Measure Anything: Finding the Value of “Intangibles” in Business\u003c\/i\u003e (Wiley).\u003c\/p\u003e  \u003cp\u003eThe companion workbook to the new edition of the bestselling \u003cb\u003e\u003ci\u003eHow to Measure Anything\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHow can we measure the population of fish in a lake? And how is that like measuring unsatisfied customers who didn’t complain or measuring security breaches that were not detected? How can we isolate the effect advertising has on sales when a vast amount of unknowns also affect sales? How did a 9-year-old girl use a simple measurement to debunk a popular practice in medicine? How do we measure quality, risk, or innovation? How do we know what to measure in the first place? The answers are easier than you might think.\u003c\/p\u003e \u003cp\u003eThis companion workbook to the new edition of the insightful and eloquent \u003ci\u003eHow to Measure Anything\u003c\/i\u003e walks you through sample problems and exercises to help you master and apply the methods discussed in the book. Following along with each book chapter, this workbook is an excellent supplementary teaching tool in the classroom.\u003c\/p\u003e \u003cp\u003eThe book explains practical methods for measuring a variety of intangibles, including approaches to measuring customer satisfaction, organizational flexibility, technology risk, technology ROI, and other problems in business, government, and not-for-profits.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eCompanion to the updated edition of the bestselling \u003ci\u003eHow to Measure Anything\u003c\/i\u003e\n\u003c\/li\u003e \u003cli\u003eProvides chapter-by-chapter exercises\u003c\/li\u003e \u003cli\u003eWritten by industry leader Douglas Hubbard\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eHow to Measure Anything Workbook\u003c\/i\u003e illustrates how the author has used his approach across various industries and how any problem, no matter how difficult, ill-defined, or uncertain can lend itself to measurement using proven methods.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989381333221,"sku":"NP9781118752364","price":32.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118752364.jpg?v=1761783892","url":"https:\/\/k12savings.com\/es\/products\/how-to-measure-anything-workbook-isbn-9781118752364","provider":"K12savings","version":"1.0","type":"link"}