News and Insights

The latest in quantitative analysis and consulting from the team at Hubbard Decision Research

Measuring the Value of Ideas: A Superhero Movie Case Study

What follows is a tale that, for business people, reads like a Shakespearean tragedy - or a Stephen King horror novel. It starts with the recent history-setting success of Avengers: Endgame and the notion that an idea has value - and if you don’t see it or won’t...

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The One Question Every Risk Manager Should Ask

Risk management isn’t easy. At any given time, an organization faces many risks, both known and unknown, minor and critical. Due to limited resources, not all risks can be mitigated. Without an effective risk management process, not all risks can even be identified....

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How to Get Better at Making Decisions and Predicting the Future

During the course of a typical day, humans will make an enormous amount of conscious and subconscious decisions. Not all of those decisions are what we’d call crucial. The vast majority aren’t. But every day, we’ll make several decisions that matter - that have a...

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Two Ways You Can Use Small Sample Sizes to Measure Anything

When it comes to statistics, there are a lot of misconceptions floating around. Even people who have scientific backgrounds subscribe to some of these common misconceptions.  One misconception that affects measurement in virtually every field is the perceived need for...

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Ten Years of How to Measure Anything

On August 3, 2007, the first edition of How to Measure Anything was published.  Since then, Doug Hubbard has written two more editions, three more books, in eight languages for a total of over 100,000 books sold.  How to Measure Anything is required reading in several...

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Five Data Points can Clinch a Business Case [article]

Pop quiz: which of the following statements about decisions do you agree with: You need at least thirty data points to get a statistically significant result. One data point tells you nothing. In a business decision, the monetary value of data is more important than...

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