Satisfaction is different than ease of use. But they are both attitudes. We provided the conceptual foundation for what satisfaction is, how it differs from perceived ease of use, and how both can be collected at the overall product level (also called the study level) or at the task level. So, while we know they
Having a representative sample is ideal when making inferences about your customer or user population. In practice, it can be difficult to recruit the right proportion of respondents, leaving your sample out of balance with the population. One way to adjust for being off balance is to weight the data you collected to get the
At MeasuringU®, we don’t just use UX metrics—we create them. But what have we created, and what have we just used or extended? Across our combined careers, we (Jeff and Jim) have published 16 psychometrically qualified UX metrics (both creating original and modifying existing questionnaires) plus a method for combining prototypical usability metrics, and we
In earlier articles, we identified 70+ UX metrics and provided guidance on how to select a metric. Seventy of anything is hard to keep track of, much less master. However, there are two ways to make that large list of metrics more approachable: The first is to decompose that list into logical groups (Figure 1).
You invite your friends over for a gathering at your house. As the party gets started, you watch in horror as a friend trips on the edge of your carpet before she even takes the first sip of her Cabernet (now spilled on your white couch). You rush to fix the carpet. But before you
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,
In an earlier article, we demonstrated the validity of measuring tech savviness with technical activity checklists (TAC™) by analyzing the correlation between TAC scores and successful completion rates in four usability studies. The TAC scores significantly correlated with success rates (i.e., people with higher levels of tech savviness tended to complete more tasks). On average,
Many topics about the design of rating scales can provoke strong opinions and heated debates. The arguments include whether or not scales should include a neutral response. Unlike rating scales with an even number of points (e.g., 4, 6, or 10), rating scales with an odd number of points (e.g., 5, 7, or 11) contain
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,
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
