Summary of How to Measure Anything

Looking for the book?
We have the summary! Get the key insights in just 10 minutes.

How to Measure Anything book summary


8 Overall

8 Applicability

8 Innovation

7 Style


Finding the answers to most questions usually begins with measuring. But when it comes to answering questions that plague business and society – Will this new product succeed? Will that company fail? How valuable is a human life? – the usual tools of measurement fall short. Metrics expert Douglas W. Hubbard offers a logical, reasoned explanation of how to assign a dimension to anything, especially intangibles or “soft” issues. He makes a strong case for why failing to measure such issues can lead to unsatisfactory or even disastrous decisions. His straightforward approach to the sometimes off-putting field of statistics will appeal to even the most numerically challenged. getAbstract recommends his advice to anyone charged with making critical decisions.

In this summary, you will learn

  • Why “anything can be measured,” even intangibles,
  • Why knowing what and how to measure matters, and
  • How technology improves measuring.

About the Author

Douglas W. Hubbard is an expert in metrics, decision analysis and risk management. He is the author of The Failure of Risk Management: Why It’s Broken and How to Fix It.



Immeasurable Odds
Executives face decisions daily that require assessment of risk, calculation of worth or prediction of an outcome. You can weigh the quantitative aspects of business decisions, such as how many widgets to produce or what your share of the widget market might be. But most...

Comment on this summary

  • Avatar
  • Avatar
    Me parece un excelente libro para terminar con las dudas acerca de que lo intangible es imposible de medir y que los subjetivo no es cuantificable. Una excelente puerta de entrada a desarrollar sistemas innovadores de medición.
  • Avatar
    Erica Rauzin 6 years ago
    Kathleen - thanks for your comment. We thought this was a great introduction for people who don't work with data all the time and a solid confirmation for those who do, so we're glad you identified with it. (Erica Rauzin, Managing Editor, getAbstract)

More on this topic

By the same author

Customers who read this summary also read

More by category