Recruiting participants for research is expensive. It’s also rife with problems: Are these people really who they say they are? Are they actually paying attention? Or is the data from some survey farm where people click through and make money? AI is disrupting UX research. But the disruption is leading to more software, not less.
Surveys are a common way to measure attitudes, behaviors, and intentions related to products and services. But large surveys can include dozens of questions and multiple demographic segments, which can mean hundreds of potential comparisons. How do you present all those results in a way stakeholders can quickly scan? You can use a slide deck
The UX-Lite® is an increasingly popular UX metric. There’s a reason for its popularity. It’s a simple two-item questionnaire that measures perceptions of the user experience of any interface (product, app, website). Its two five-point items are combined and scaled to generate an overall score and subscale scores on ease and usefulness from 0 to
The last couple of years have not been easy for those in the UX profession. With an increase in layoffs and AI disruption, uncertainty has grown about job security and even whether to leave the profession entirely. How has this uncertainty affected the current satisfaction that UX professionals feel about their job? What you do
Did the student write the paper with AI? Did the teacher review the paper with AI? Did the respondent use AI to answer the survey? Did the researcher use AI to detect responses that were AI generated? Was this article written with AI? Was the LinkedIn post about this article written with AI? There’s hardly
What’s the value of a degree? While most discussions on the cost and value of a university education focus on the undergraduate degree, getting a bachelor’s degree isn’t really a question that’s asked in the UX world. Almost all UX professionals (93%–97%) surveyed over the last decade have at least a bachelor’s degree, suggesting that
Is not recommending the same as discouraging or recommending others to not use or purchase from a brand? While a lack of recommending seems like it would correlate with NOT recommending, we suspect there may be a difference but are unsure how much. In our previous article, we looked to the published literature and found
One box, two box, red box, blue box … Box scoring isn’t just something they do in baseball. Response options for rating scale data are often referred to as boxes because, historically, paper-administered surveys displayed rating scales as a series of boxes to check, like the one in Figure 1. Figure 1: Illustration of “boxes”
Response scales are a basic type of interface. They should reflect the attitude of the respondent as precisely as possible while requiring as little effort as possible to answer. When collecting data from participants, some wished they could have picked a value between two numbers, for example, 5.5 or 6.5, which can be done with
Few things seem to elicit more opinions, exaggerations, and accusations than rating scale response options. From the “right” number of points, the use (or not) of labels, and the presentation order (to name a few), it seems we all have thoughts on what to do (or not to do) regarding conventions and “rules” when selecting
