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How to Measure Anything: Finding the Value of "Intangibles" in Business

Douglas W. Hubbard, David Drummond · 2 HN comments
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Amazon Summary
Anything can be measured. This bold assertion is the key to solving many problems in business and life in general. The myth that certain things can't be measured is a significant drain on our nation's economy, public welfare, the environment, and even national security. In fact, the chances are good that some part of your life or your professional responsibilities is greatly harmed by a lack of measurement-by you, your firm, or even your government. Building up from simple concepts to illustrate the hands-on yet intuitively easy application of advanced statistical techniques, How to Measure Anything reveals the power of measurement in our understanding of business and the world at large. This insightful and engaging book shows you how to measure those things in your business that until now you may have considered "immeasurable," including technology ROI, organizational flexibility, customer satisfaction, and technology risk. Offering examples that will get you to attempt measurements-even when it seems impossible-this book provides you with the substantive steps for measuring anything, especially uncertainty and risk. Don't wait-listen to this book and find out: -The three reasons why things may seem immeasurable but are not -Inspirational examples of where seemingly impossible measurements were resolved with surprisingly simple methods -How computing the value of information will show that you probably have been measuring all the wrong things -How not to measure risk -Methods for measuring "soft" things like happiness, satisfaction, quality, and more -How to fine-tune human judges to be powerful, calibrated measurement instruments -How you can use the Internet as an instrument of measurement A complete resource with case studies, How to Measure Anything illustrates how author Douglas Hubbard-creator of Applied Information Economics-has used his approach across various industries. You'll learn how any problem, no matter how difficult, ill-defined, or uncertain, can lend itself to measurement using proven methods. Straightforward and easy-to-follow, this is the resource you'll refer to again and again-beyond measure.
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If you're trying to compare 100+ ideas and choose the "best" one to explore, I'd suggest looking into a simulation based approach. Monte Carlo simulation[1] is probably a good place to start. There are dozens of textbooks that cover the topic.

Now the downside to this is that you have to have parameter ranges for the model to simulate, and you don't necessarily know the probability distribution for each variable in the model up front. That means you have to estimate/guess at them. This makes the exercise slightly error-prone. There is, however, a mechanism you can use to teach yourself (or others) to do a better job of estimation. The technique I'm thinking of is "calibrated probability assessment"[2].

The book How To Measure Anything[3] by Douglas Hubbard does a really nice job of laying out how to use calibrated probability assessments, mathematical models, and monte carlo simulation, to build a probability distribution for things that look hard/impossible to measure.

Anyway, if you build a model for all of your ideas, and monte carlo simulate all of them to get a probability distribution for the return, then you at least have something somewhat objective to base a decision on.

One last note though: when doing this kind of simulation, one big risk (aside from mis-estimating a parameter) is that you leave a particular parameter out completely. I don't know of any deterministic way to make sure you include all the relevant features in a model. The best way I know of to address that is to "crowd source" some help and get as many people as you can (people who have relevant knowledge / experience) to evaluate and critique your model.

[1]: https://en.wikipedia.org/wiki/Monte_Carlo_method

[2]: https://en.wikipedia.org/wiki/Calibrated_probability_assessm...

[3]: https://www.amazon.com/How-Measure-Anything-Intangibles-Busi...

startup4740
Definitely going to read it. I ordered https://www.amazon.com/gp/product/1422157989/ref=oh_aui_deta... yesterday.

Thank you!

Honestly, my favorite resource for much of this is the book How to Measure Anything by Douglas Hubbard. He goes into detail in understanding the value of information and how and why to use Monte Carlo Simulations.

Video: https://www.youtube.com/watch?v=w4fHGTsZZD8 Book: http://www.amazon.com/How-Measure-Anything-Intangibles-Busin...

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