Exploring Another Alternate Form for the UMUX-Lite Usefulness Item

When thinking about user experiences with websites or software, what is the difference between capabilities and functions? Is there any difference at all? In software engineering, a function is code that takes inputs, processes them, and produces outputs (such as a math function). The word capability doesn’t have a formal definition, but it most often

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Sample Size Estimation for NPS Confidence Intervals

Sample size estimation is a critical step in research planning. It can also seem like a mysterious and at times controversial process. But sample size estimation, when done correctly, is based mostly on math, not magic. The challenge is that the math can get complex, so it becomes easier to defer to simple rules or

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Evaluating NPS Significance Tests with Real-World Data

The Net Promoter Score (NPS) is widely used by organizations. It’s often used to make high-stakes decisions on whether a brand, product, or service has improved or declined. Net Promoter Scores are often tracked on dashboards, and any changes (for better or worse) can have significant consequences: adding or removing features, redirecting budgets, even impacting

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UX and Net Promoter Benchmarks of Auto Insurance Websites

Fifteen minutes could save you 15%. Nationwide is on your side. You’re in good hands with Allstate. Auto insurance commercials are ubiquitous. It’s no wonder, considering the market. In 2020, the population of the United States was 331,000,000, and 230,000,000 Americans were licensed drivers. If you drive, you should have auto insurance. Until recently, most

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Evaluating NPS Confidence Intervals with Real-World Data

The Net Promoter Score (NPS) is a popular business metric used to track customer loyalty. It uses a single likelihood-to-recommend (LTR) question (“How likely is it that you will recommend our company to a friend or colleague?”) with 11 scale steps from 0 (Not at all likely) to 10 (Extremely likely). In NPS terminology, respondents

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48 UX Metrics, Methods, & Measurement Articles from 2020

Happy New Year from all of us at MeasuringU! 2020 was a crazy year, but we still managed to post 48 new articles and continued improving MUIQ, our UX testing platform. We hosted our seventh UX Measurement Bootcamp, this time virtually. The change of format was a challenge, but it was fantastic to work with

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Randomization

What a Randomization Test Is and How to Run One in R

The two-sample t-test is one of the most widely used statistical tests, assessing whether mean differences between two samples are statistically significant. It can be used to compare two samples of many UX metrics, such as SUS scores, SEQ scores, and task times. The t-test, like most statistical tests, has certain requirements (assumptions) for its

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Change Verbs

From Soared to Plummeted: Can We Quantify Change Verbs?

Cases spike, home prices surge, and stock prices tank: we read headlines like these daily. But what is a spike and how much is a surge? When does something crater versus tank or just fall? Headlines are meant to grab our attention. They often communicate the dramatic story the author wants to tell rather than

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Rating Scales

Rating Scale Best Practices: 8 Topics Examined

Rating scales have been around for close to a century. It’s no wonder there are many questions about best practices and pitfalls to avoid. And like any topic that’s been around for that long, there are urban legends, partial truths, context-dependent findings, and just plain misconceptions about the “right” and “wrong” way to use and

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Sliders

Are Sliders More Sensitive than Numeric Rating Scales?

Sliders are a type of visual analog scale that can be used with many online survey tools such as our MUIQ platform. The literature on their overall effectiveness is mixed (Roster et al., 2015). On the positive side, evidence indicates that sliders might be more engaging to respondents. On the negative side, evidence also indicates

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