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49 UX Metrics, Methods, & Measurement Articles from 2023

All of us at MeasuringU® wish you a Happy New Year! In 2023, we posted 49 articles and continued to add features to our MUiQ® UX testing platform to make it even easier to develop studies and analyze results. We hosted our eleventh UX Measurement Bootcamp, again as a blended virtual event with a combination

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Comparing SEQ and Click SMEQ Sensitivity

Capturing someone’s attitude as precisely as possible with as little effort as possible … that’s the goal of post-task metrics collected in usability tests. Organizations devote time and money to testing products with users, not to watching users spend time reading and answering questions. Organizations want to understand if people think an experience is difficult,

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Frameworks for Classifying UI Problems

Finding and fixing problems is a core activity of much of UX research (similar to identifying and preventing software bugs and product defects). The problems found while users attempt tasks are often broadly referred to as UI problems because the friction points tend to involve issues that blur the lines between bugs, functional deficits, and

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How Do Changes in Standard Deviation Affect Sample Size Estimation?

The standard deviation is the most common way of measuring variability or “dispersion” in data. The more the data is dispersed, the more measures such as the mean will fluctuate from sample to sample. That means higher variability (higher standard deviations) requires larger sample sizes. But exactly how much do standard deviations—whether large or small—impact

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Sample Sizes for Comparing Rating Scale Means

Are customers more satisfied this quarter than last quarter? Do users trust the brand less this year than last year? Did the product changes result in more customers renewing their subscriptions? When UX researchers want to measure attitudes and intentions, they often ask respondents to complete multipoint rating scale items, which are then compared with

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Should You Report Numbers or Percentages in Small-Sample Studies?

“Don’t include numbers when reporting the results of small-sample research studies!” “If you must, definitely don’t use percentages!” “And of course, don’t even think about using statistics!” We regularly hear variations of this advice from well-intentioned researchers, often senior ones. In 2005, we encountered this debate among UX professionals when we participated in a workshop

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Sample Sizes for Comparing Dependent Proportions

Sample size estimation is an important part of study planning. If the sample size is too small, the study will be underpowered, meaning it will be incapable of detecting sufficiently small differences as statistically significant. If the sample size is too large, the study will be inefficient and cost more than necessary. A critical component

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Are People Who Agree to Think Aloud Different?

In an earlier article, we showed that only about 9% of panel participants will eventually complete a study in which they are asked to think aloud. That is, if you need ten usable think-aloud videos, expect to invite around 111 participants. On the surface, this means you’ll need to plan for a lot of people

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How Hard Is It to Rank Items in Surveys?

Ranking questions are a popular way to understand how respondents in UX research prioritize items such as product features, habits, purchases, color schemes, or designs. Forcing participants to make tradeoffs on what’s most important versus least important helps avoid the “everything is important” problem you get when you ask respondents to simply rate how important

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How to Compare Two Dependent Proportions

In math class, we spend a lot of time learning fractions because they are so important in everyday life (e.g., budgeting, purchasing at the grocery store). Fractions are also used extensively in UX research (e.g., the fundamental completion rate is a fraction), typically expressed as percentages or proportions. Unfortunately, fractions are also hard to learn,

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