Douglas W. Hubbard

From Wikipedia, the free encyclopedia

Douglas Hubbard is a management consultant, speaker, and author in decision sciences and actuarial science.


Hubbard was a business analyst at Coopers & Lybrand[1] in 1988 after finishing his MBA at the University of South Dakota.[citation needed] He formed Hubbard Decision Research in 1998.[citation needed]


He is critical of several popular methods and standards in risk management and decision making in organizations. He argues that extensive research in methods such as "risk matrices", the use of weighted scores in decision making, and expert intuition are inferior to certain quantitative methods.[2]

Hubbard is known for asserting that everything can be measured,[3] and that initial measurements are the most valuable as they reduce the greatest amounts of uncertainty.[citation needed]

Selected publications[edit]


  • How to Measure Anything: Finding the Value of Intangibles in Business. Wiley. 2007. ISBN 9781118983836.[4]
  • The Failure of Risk Management: Why It's Broken and How to Fix It. Wiley. 2009. ISBN 9781119198536.[5]
  • Pulse: The New Science of Harnessing Internet Buzz to Track Threats and Opportunities. Wiley. 2011. ISBN 9781119200956.
  • How to Measure Anything in Cybersecurity Risk. Wiley. 2016. ISBN 9781119162315.[6]

His first two books are listed on the Book List for the Society of Actuaries Exam Prep.[7]

His books are on the reading list at School of Business and Economics (College of Charleston), Jon M. Huntsman School of Business (Utah State University), and Carl H. Lindner College of Business (University of Cincinnati).[citation needed]

Other publications[edit]

  • Shepherd, K., Hubbard, D., Fenton, N., Claxton, K., Luedeling, E., & deLeeuw, J. (2015). Policy: Development goals should enable decision-making. Nature. July 2015.[8]
  • Hubbard, D., & Evans, D. (2010). Problems with scoring methods and ordinal scales in risk assessment. IBM Journal of Research and Development, 54(3), 2–1.
  • Hubbard, D., & Samuelson, D. A. (2009). Analysis placebos: The difference between perceived and real benefits of risk analysis and decision models. Analytics Magazine. Fall 2009.
  • Hubbard, D., & Samuelson, D. A. (2009). Modeling Without Measurements: How the decision analysis culture's lack of empiricism reduces its effectiveness. OR/MS Today, 36(5), 26–31.
  • Hubard, D. (2009). It's all an illusion: The perception that many things are immeasurable is common — it's also an illusion. ArchitectureBoston. 11(5).
  • Hubbard, D. (2003). Expert analysis: An effective measure. CIO: ROIowa. August 2003.[9]
  • Mayor, T., & Hubbard, D. (2001). Case study:[10] Red light, green light. CIO Enterprise Magazine. October, 2001.
  • Worthen, B., & Hubbard., D. (2001). Case Study: Two Teams are better than one. CIO Enterprise Magazine. 2001.
  • Hubbard, D. W. (1997). Risk vs. return. InformationWeek, (637), 105.



  1. ^ Ian Grant (12 September 2007). "Book review: How to Measure Anything, by Douglas W Hubbard". Computer Weekly. Retrieved 1 June 2022.
  2. ^ Steven James Landry, ed. (2017). Handbook of Human Factors in Air Transportation Systems. CRC Press. pp. 204–205. ISBN 9781351653145.
  3. ^ Veljko Krunic (2020). Succeeding with AI: How to make AI work for your business. Simon and Schuster. p. 109. ISBN 9781638356318.
  4. ^ Reviews of How to Measure Anything: Finding the Value of Intangibles in Business:
  5. ^ Reviews of The Failure of Risk Management:
  6. ^ Reviews of How to Measure Anything in Cybersecurity Risk:
  7. ^ "Fall 2021 FSA Exam Book List | SOA".
  8. ^ Shepherd, Keith; Hubbard, Douglas; Fenton, Norman; Claxton, Karl; Luedeling, Eike; de Leeuw, Jan (2015-07-08). "Policy: Development goals should enable decision-making". Nature. 523 (7559): 152–154. Bibcode:2015Natur.523..152S. doi:10.1038/523152a. ISSN 0028-0836. PMID 26156358.
  9. ^ "ROIowa". CIO. Retrieved 2018-11-19.
  10. ^ "Case Study: Red light, green light". IT World Canada. Retrieved 2018-11-19.