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Do the Interior Labels of the SMEQ Affect Its Scores?

When trying to measure something abstract and multi-faceted like “User Experience,” you should be open to considering and assessing different measurement approaches. Some are popular and others are obscure. At MeasuringU, we’ve found that even when we don’t necessarily recommend a measure or method, we can often adapt aspects of it and apply them to

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A Primer on Biases and Errors in Survey Design

In 1916, a leading periodical called The Literary Digest polled its large subscriber base of hundreds of thousands of readers and successfully predicted the winner of that year’s presidential election. The magazine repeated the poll in 1920, 1924, 1928, and 1932, correctly predicting the winner each time—five successful election predictions in a row. In 1936,

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UX and NPS Benchmarks of Home Furniture Websites (2024)

Choosing furniture, whether you’re moving into a new home or just updating your space, can feel like a daunting task. Spending hours browsing one furniture store after another may be overwhelming and time consuming. Many shoppers are skipping the brick-and-mortar furniture stores and turning to the web in search of stylish and competitively priced furniture

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Foundations of Survey Design in UX Research

In a typical week, we are asked to complete surveys on everything: our most recent restaurant experience, our interaction with an airline’s customer service department, and our recollection of our last online purchase, to name just a few. Surveys are ubiquitous. Not surprisingly, many people hold strong opinions about their proper usage in applied research

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Comparing ChatGPT to Card Sorting Results

ChatGPT is probably not going to take your UX research job. However, another researcher who can use AI tools such as ChatGPT effectively might. In an earlier article, we explored using ChatGPT-4 to augment researchers’ abilities to sort open-ended comments. We found that the results were comparable to how humans performed, although they had some

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Assessing Interrater Reliability in UX Research

Do researchers agree on what the problems are in an interface? And will researchers group the problems into the same categories? When coding open-ended comments in a survey, will different researchers classify the comments differently? These discovery and classification activities are quite common in UX research, but they are often conducted by a single person

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10 Key Takeaways from the Latest Research on Thinking Aloud in Usability Testing

In Think Aloud (TA) testing, participants speak their thoughts while attempting tasks. The process is meant to help researchers identify usability problems and potential fixes. It’s a distinctive method in UX research. Despite its popularity, there are many open research questions about the efficacy and potential side effects of think-aloud research. Researchers still disagree on

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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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An Experiment Comparing 2D and 3D Bar Graphs

You can make graphs in 3D. They change up often banal-looking flat graphs. But is it more than just an aesthetic decision? Does adding a third dimension to bar graphs make it easier or harder for people to interpret? In an earlier article, we reviewed the literature on the use of 3D graphs. There are

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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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