Net Promoter Score

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Software dominates our professional and personal lives. A product's usability, in addition to its features and capabilities, is an important influence on how likely users are to adopt new technology and recommend the software. Between 30 and 60% of the variation in Net Promoter Scores is determined by a product's usability. Customers tend to recommend products they have positive experiences with. Similarly, bad experiences lead customers

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There’s no shortage of opinions about the Net Promoter Score. There’s nothing wrong with an opinion. It’s just better when there’s data backing it. Unfortunately, when it comes to opinions about the Net Promoter Score, especially how the underlying question is displayed, the opinions are often based on anecdotes and out-of-context “best practices.” At MeasuringU, we want to help others use data to form better

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Small changes can have big impacts on rating scales. But to really know what the effects are, you need to test. Labels, number of points, colors, and item wording differences can often have unexpected effects on survey responses. In an earlier analysis, we compared the effects of using a three-point recommend item compared to an eleven-point recommend item. In that study, we showed how a

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Does the NPS predict growth? What data is there to support the predictive ability of the Net Promoter Score? In the original research reported by Fred Reichheld, he showed that the NPS strongly correlated with growth in 11 out of 14 industries. However, he used historical, not future, growth. While this established a sort of concurrent validity, it left open the question about the predictive

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Should you label all points on a scale? Should you include a neutral point? What about labeling neutral points? How does that affect how people respond? These are common questions when using rating scales and they’ve also been asked about the Net Promoter Score: What are the effects of having a neutral label on the 11-point Likelihood to Recommend (LTR) item used to compute the

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Have you recommended a product to a friend? Will you recommend that same product to a friend again? Which of these questions is a better indicator of whether you will actually recommend a product? If people were consistent, rational, and honest, it’s simple. The second question asks about future intent so that would be the logical choice. It may come as no surprise that people

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Public officials don’t care much about what the general public thinks. Voting is the only way ordinary people can have a say in government. How much do you agree with those two statements? If the order in which those items were presented were switched, would it affect how you responded? While most UX and customer research doesn’t involve sensitive topics, does the order in which

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The one number you need to grow. That was the title of the 2003 HBR article by Fred Reichheld that introduced the Net Promoter Score as a way to measure customer loyalty. It’s a strong claim that a single attitudinal item can portend company success. And strong claims need strong evidence (or at least corroborating evidence). In an earlier article, I examined the original evidence

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