How to Measure Anything: Finding the Value of "Intangibles" in Business
by Douglas W. HubbardRent Book
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Summary
Table of Contents
| Preface | |
| Acknowledgements | |
| Measurement: The Solution Exists | |
| The Intangibles and the Challenge | |
| An Intuitive Measurement Habit: Eratosthenes, Enrico & Emily | |
| How an Ancient Greek Measured the Size of the Earth | |
| Estimating: Be like Fermi | |
| Experiments: Not just for adults | |
| Notes on What to Learn from Eratosthenes, Enrico and Emily | |
| The Illusion of Intangibles: Why Immeasurables Aren't | |
| The Concept of Measurement | |
| The Object of Measurement | |
| The Methods of Measurement | |
| Economic Objections to Measurement | |
| The Broader Objection to the Usefulness of & "Statistics". Ethical Objections to Measurement | |
| Toward A Universal Approach to Measurement | |
| Before You Measure | |
| Clarifying the Measurement Problem | |
| Getting the Language Right: What Uncertainty and Risk Really Mean | |
| Examples of Clarification: Lessons for Business from, of all places, Government? | |
| Calibrated Estimates: How Much Do You Know Now? | |
| Calibration Exercise | |
| Further Improvements on Calibration | |
| Conceptual Obstacles to Calibration | |
| The Effects of Calibration | |
| Measuring Risk: Introduction to the Monte Carlo | |
| An Example for Monte Carlo and Risk | |
| Tools and other Resources for Monte Carlo Simulations | |
| The Risk Paradox | |
| Measuring the Value of Information | |
| The Chance of Being Wrong and The Cost of Being Wrong: Expected | |
| Opportunity Loss | |
| The Value of Information for Ranges | |
| The Imperfect World: The Value of Partial Uncertainty Reduction | |
| The Epiphany Equation: The Value of a Measurement Changes Everything | |
| Summarizing Uncertainty, Risk and Information Value: The first measurements | |
| Measurement Methods | |
| The Transition: From What Measure to How to Measure | |
| Tools of Observation: Introduction to the Instrument of Measurement | |
| Decomposition | |
| Secondary Research: Assuming You Weren't the First to Measure It | |
| The Basic Methods of Observation: If One Doesn't Work, Try the Next | |
| Measure Just Enough | |
| Consider the Error | |
| Choose and Design the Instrument | |
| Sampling Reality: How Observing Some Things Tells Us about All Things | |
| Building an Intuition for Random Sampling: The Jelly Bean Example | |
| A Little About Little Samples: A Beer Brewers Approach | |
| The Easiest Sample Statistics Ever | |
| A Sample of Sampling Methods | |
| Measure to the Threshold | |
| Experiment | |
| Seeing Relationships in the Data: An Introduction to Regression Modeling | |
| Bayes: What You Know Now | |
| Simple Bayesian | |
| Using Your Natural Bayesian Instinct | |
| Heterogeneous Benchmarking: A "Brand Damage" Application | |
| Getting a Bit More Technical: Bayesian Inversion for Ranges | |
| Beyond the Basics | |
| Preference & Attitudes - The Softer Side of Measurement | |
| Observing Opinions, Values, and the Pursuit of Happiness: The Basics | |
| A Willingness to Pay: Measuring Value via Trade Offs | |
| Putting it all on the Line: Quantifying Risk Tolerance | |
| Quantifying Subjective Tradeoffs: Dealing with Multiple Conflicting Preferences? | |
| Keeping the Big Picture in Mind: Profit Maximization vs. Subjective Tradeoffs | |
| The Ultimate Measurement Instrument - Human Judges | |
| Homo Absurdus: The Weird Reasons Behind Our Decisions | |
| Getting Organized: A Performance Evaluation Example | |
| Surprisingly Simple Linear Models | |
| How to Standardize Any Evaluation: Rasch Models | |
| Removing Human Inconsistency: The Lens Model | |
| Panacea or Placebo?: Questionable Methods of Measurement | |
| Comparing the Methods | |
| New Measurement Instruments for Management | |
| The 21st Century Tracker: K | |
| Table of Contents provided by Publisher. All Rights Reserved. |
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