How to measure anything : finding the value of intangibles in business

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How to Measure Anything; Contents; Preface to the Third Edition; About the Companion Website; Acknowledgments; About the Author; Part I The Measurement Solution Exists; Chapter 1 The Challenge of Intangibles; The Alleged Intangibles; Yes, I Mean Anything; The Proposal: It's about Decisions; A "Power Tools" Approach to Measurement; A Guide to the Rest of the Book; Chapter 2 An Intuitive Measurement Habit: Eratosthenes, Enrico, and Emily; How an Ancient Greek Measured the Size of Earth; Estimating: Be Like Fermi; Experiments: Not Just for AduLts Notes on What to Learn from Eratosthenes, Enrico, and EmilyNotes; Chapter 3 The Illusion of Intangibles: Why Immeasurables Aren't; The Concept of Measurement; A Definition of Measurement: An "Information Theory" Version; A Variety of Measurement Scales; Bayesian Measurement: A Pragmatic Concept for Decisions; The Object of Measurement; The Methods of Measurement; The Power of Small Samples: The Rule of Five; Even Smaller Samples: The Urn of Mystery; Our Small-Sample Intuition versus Math; Economic Objections to Measurement; The Broader Objection to the Usefulness of "Statistics." Ethical Objections to MeasurementReversing Old Assumptions; It's Been Measured Before; You Have Far More Data than You Think; You Need Far Less Data than You Think; Useful, New Observations Are More Accessible than You Think; Notes; Part II Before You Measure; Chapter 4 Clarifying the Measurement Problem; Toward a Universal Approach to Measurement; The Unexpected Challenge of Defining a Decision; Decision-Oriented Measurements: For Scientists, Too; How to Get to a Real Decision; Requirements for a Decision; Potential Forms of a Decision; If You Understand it, You Can Model it. Getting the Language Right: What "Uncertainty" and "Risk" Really MeanAn Example of a Clarified Decision; Notes; Chapter 5 Calibrated Estimates: How Much Do You Know Now?; Calibration Exercise; Calibration Trick: Bet Money (or Even Just Pretend To); Further Improvements on Calibration; Conceptual Obstacles to Calibration; The Effects of Calibration Training; Notes; Chapter 6 Quantifying Risk through Modeling; How Not to Quantify Risk; Real Risk Analysis: The Monte Carlo; An Example of the Monte Carlo Method and Risk; Tools and Other Resources for Monte Carlo Simulations. The Risk Paradox and the Need for Better Risk AnalysisNotes; Chapter 7 Quantifying the Value of Information; The Chance of Being Wrong and the Cost of Being Wrong: Expected Opportunity Loss; The Value of Information for Ranges; Beyond yes/no: Decisions on a Continuum; The Imperfect World: The Value of Partial Uncertainty Reduction; Perishable Information Values; Information Values for Multiple Variables; The Epiphany Equation: How the Value of Information Changes Everything; Summarizing Uncertainty, RisK, and Information Value: The pre-measurements; Notes; Part III Measurement Methods. Chapter 8 The Transition: From What to Measure to How to Measure