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Do Click Tests Predict Clicks on Product Pages?

How predictive are click tests? Does the first click on an image really predict what would happen on a fully functioning website? In an earlier article, we reviewed the literature on click testing. We found that the primary—probably only—source that established the link between the first click and ultimate task success wasn’t done on images

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Describing SEQ® Scores with Adjectives

How hard is it to figure out the total cost of a mobile phone service plan? Have you had trouble finding the customer support number for your cable provider? How do you quantify these experiences? What words would you use to describe them? While we have ways of measuring perceived ease using numeric scales, rating

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UX and NPS Benchmarks of Theme Park Websites (2023)

While life can feel like a metaphorical roller coaster, in some cases, there is a literal roller coaster. In 2021, over 100 million people ventured to a theme park in North America. For many of these visitors, the experience started well before the thrill of the ride, when they bought tickets and researched details about

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Does Thinking Aloud Uncover More Usability Issues?

One of the most popular UX research methods is Think Aloud (TA) usability testing. In TA testing, participants speak their thoughts while attempting tasks. The process helps researchers identify usability problems and potential fixes. But is the process of thinking aloud necessary to uncover problems and insights? Earlier, we investigated the effects of TA on

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When and Why to Use a Click Test

Where will people click on a webpage or app? It’s a good question because knowing where people click can help designers understand how functions and content help or inhibit users from accomplishing their tasks. Our earlier research has shown that the first click on images is reasonably predictive of the first click on live websites,

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Measuring Tech Savviness with Technical Activity Checklists

UX research is geared primarily toward understanding how to improve the experience of products, websites, and software. The intent is not to assess people but to use people to assess product experiences. But people’s ability to solve technical problems—what we often loosely refer to as tech savviness—can confound our research findings. That is, including only

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Is What You See What You Get?
Examining the Evaluator Effect in Unmoderated Usability Testing

If different researchers conduct a study, will they identify different problems? While it was originally controversial, the evaluator effect is now well-established in the field of UX research. The evaluator effect is the finding that, in general, different teams or individuals conducting a usability study will identify and report different problems (Hertzum & Jacobsen, 2003).

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UX and NPS Benchmarks of Office Supply Websites (2023)

When people need office supplies, they’re unlikely to use Dunder Mifflin; instead, they’ll search online. But like the fictional paper supply company, many well-known office-supply brands (some with physical stores) have struggled to compete with Amazon and haven’t recovered from the impacts of COVID policies on in-person work. In 2019, Office Depot closed 50 stores,

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Sample Sizes for Rating Scale Confidence Intervals

Sample size computations can seem like an art. Some assumptions are involved when computing sample sizes, but it should be more math than magic. A key ingredient needed to cook up a sample size estimate is the standard deviation. You need yeast to make bread, and you need a measure of variability to make an

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Initial Validation of Tech-Savvy Measures

How do you measure tech savviness? For several years (since 2015), we’ve been on a mission to develop a valid and practical measure. In our earlier articles, we have Reviewed the literature. We reviewed the literature on tech-savvy measures and found three key approaches to measuring tech-savviness by assessing (1) what a person knows, (2)

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