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Douglas W.Hubbard

How to Measure Anything

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Now updated with new measurement methods and new examples, How to Measure Anything shows managers how to inform themselves in order to make less risky, more profitable business decisions This insightful and eloquent book will show you how to measure those things in your own business, government agency or other organization that, until now, you may have considered “immeasurable,” including customer satisfaction, organizational flexibility, technology risk, and technology ROI.
Adds new measurement methods, showing how they can be applied to a variety of areas such as risk management and customer satisfaction Simplifies overall content while still making the more technical applications available to those readers who want to dig deeper Continues to boldly assert that any perception of “immeasurability” is based on certain popular misconceptions about measurement and measurement methods Shows the common reasoning for calling something immeasurable, and sets out to correct those ideas Offers practical methods for measuring a variety of “intangibles” Provides an online database (www.howtomeasureanything.com) of downloadable, practical examples worked out in detailed spreadsheets Written by recognized expert Douglas Hubbard—creator of Applied Information Economics—How to Measure Anything, Third Edition illustrates how the author has used his approach across various industries and how any problem, no matter how difficult, ill defined, or uncertain can lend itself to measurement using proven methods.
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Citações

  • Yana Manukhinafez uma citaçãohá 6 anos
    If you randomly select one sample out of a large population, even a population that numbers thousands or millions, where you initially believed the population proportion can be anything between 0% and 100%, there is a 75% chance that the characteristic you observe in that sample is the same as the majority.
  • Yana Manukhinafez uma citaçãohá 6 anos
    There is a 93.75% chance that the median of a population is between the smallest and largest values in any random sample of five from that population.
  • Yana Manukhinafez uma citaçãohá 6 anos
    Randi has run into retroactive excuses to explain failures to demonstrate paranormal skills so often that he has added another small demonstration to his tests. Prior to taking the test, Randi has subjects sign an affidavit stating that they agreed to the conditions of the test, that they would later offer no objections to the test, and that, in fact, they expected to do well under the stated conditions.

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