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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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48 UX Metrics, Methods, & Measurement Articles from 2022

All of us at MeasuringU® wish you a Happy New Year! In 2022, we posted 48 articles and welcomed several new clients to our MUIQ® UX testing platform, where we continue to add new features and reduce the friction in developing studies and analyzing results. We hosted our ninth UX Measurement Bootcamp—this time a blended

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The User Experience of Meeting Software (2022)

The worst of the pandemic may be over, but many changes remain, including our heavy use of meeting software. The last time we investigated the user experience of meeting software was at the beginning of the COVID pandemic, with our article published in April 2020. At that time, the usage of online meeting software had

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Business Software UX and NPS Benchmarks (2022)

Despite the attention consumer-level mobile apps, websites, and software get, much of the world depends on business software. Business software supports core functions for organizations, such as productivity management, communication, accounting, and sales. Several products also have a fair amount of crossover between business and consumer usage. Along with their features and capabilities, the user

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Should You Use Nonparametric Methods to Analyze UX Data?

Near the top of the list of concerns people have when using statistics with UX data is what to do with non-normal data. If you remember only a few things from statistics class, you might recall something about data needing to look like the infamous bell curve; more specifically, it needs to be normally distributed.

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Is UX Data Normally Distributed?

If you took an intro to stats class (or if you know just enough to be dangerous), you probably recall two things: something about Mark Twain’s “lies, damned lies …,” and that your data needs to be normally distributed. Turns out both are only partly true. Mark Twain did write the famous quote, but he

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Difficult–Easy or Easy–Difficult—
Does It Matter?

The seven-point Single Ease Question (SEQ®) has become a standard in assessing post-task perceptions of ease. We developed the SEQ over a decade ago after our research showed it performed comparably to or better than other single-item measures. It is an extension of an earlier five-point version that Tedesco and Tullis (2006 [PDF]) found performed best

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Sample Sizes for Comparing SUS Scores

Microsoft Word is a widely used word processing program, part of the Microsoft Office suite of programs. While its dominance has been challenged recently by Google Docs, Word still leads on the features list, providing many features that Google’s offering lacks. But adding features can also add to bloat, making common tasks harder as users

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Sample Sizes for Comparing SUS to a Benchmark

The System Usability Scale (SUS) has been used in industrial user experience research since the mid-1980s. Despite its age, the SUS is still a popular measure, widely used in benchmark tests of software products to measure perceived usability. One reason for its popularity is the extent to which its measurement properties have been comprehensively studied

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Why Collect Task- and Study-Level Metrics?

In Quantifying the User Experience, we recommend using a mix of task-level and study-level metrics, especially in benchmarking studies. But what, exactly, are task-level and study-level metrics, how do they differ, and why should you collect them both? In this article, we’ll explore this common practice of collecting both types of metrics to understand the

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