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A New Statistical Approach for Predicting Usability Problems

In an earlier article, we described the most common methods for modeling the total number of unique usability problems uncovered in a usability test: the average problem occurrence (p), adjusted problem occurrence (adj-p), beta-binomial, and specific problem probabilities. While these methods provide reasonably accurate predictions of the total number of unique problems, there is still

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UX and Net Promoter Benchmarks of Grocery Websites

Online grocery shopping has increased substantially over the past few years due to the COVID-19 pandemic. In 2019, online grocery sales grew steadily, but they accounted for only a modest portion of sales. Now, online grocery sales are booming, with estimated annual sales of 97.7 billion in 2021, an impressive 57% increase for the market

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How to Report Product Experience Data

How often do you use your phone? How about a streaming service you subscribe to, like Hulu or Netflix? What about software, like Microsoft Excel? In an earlier article, we discussed the importance of measuring prior experience. Prior experience is a strong predictor of UX metrics. People who are familiar with a product and use

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What Is the Product-Market Fit (PMF) Item?

A social media platform, a GPS heads-up display, a video streaming platform: all are examples of viable products … that failed. The failure came despite often substantial financial funding and putatively useful features. Their failures were blamed on poor product-market fit. Predicting a prospective product’s success in the market isn’t easy. But there’s a strong

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Eight Laws of Statistics

Statistics doesn’t have a Magna Carta, constitution, or bill of rights to enumerate laws, guiding principles, or limits of power. There have been attempts to articulate credos for statistical practice. Two of the most enduring ones are based on the work by Robert P. Abelson, a former statistical professor at Yale. If Abelson wasn’t the

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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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Five Styles of Statistical Rhetoric

When learning statistics, you’ll encounter many formulas based on principles of probability and mathematics. But statistics isn’t just a formulaic process where you enter data and are told what to do. Statistics should guide, not dictate, decisions. In making decisions, though, there are different styles of interpreting data. Although a lot of people think statistics

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UX and Net Promoter Benchmarks of Seller Marketplace Websites

When we think of how the internet has changed commerce, we often consider our ability to browse and purchase products from around the world easily from the comfort of our homes with our mobile phones. But the internet has also enabled millions of people to easily sell their products to global consumers. That selling often

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UX-Lite Usefulness Update

Can an experience be useful without meeting your needs? The UX-Lite™ is a new questionnaire that evolved from the SUS and the UMUX-Lite. It has only two items, one measuring perceived Ease and one measuring perceived Usefulness, as shown in Figure 1. Because the verbal complexity of the original Usefulness item stands in stark contrast

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Measuring Tech Savviness

What is tech savviness? While it might be hard to define, you probably know someone whom you consider tech savvy—they might even be your go-to person for solving tech issues. Or maybe you know people who aren’t tech savvy and struggle with all technology. But why should UX researchers care? The concept of tech savviness

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Sample Sizes for a SUS Score

Despite its age and the availability of other UX measures such as the UX-Lite™ and SUPR-Q®, the ten-item System Usability Scale (SUS) is still a very popular measure. It’s used widely in benchmark tests of software products to generate an overall score of perceived usability. We regularly collect SUS scores for dozens of consumer and

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