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 | |
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