MeasuringU

User Experience Research & Software. Tweets by Jeff Sauro, Jim Lewis & MeasuringU Team: Authors of Quantifying the User Experience + 8 Other UX Books.

[MeasuringU @MeasuringU]

Methods for conducting surveys include face-to-face, telephone, mail, and online. https://t.co/rCuRGTJBwi

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Our confirmed version of a new standardized questionnaire for perceived website clutter has separate measures of Overall Clutter, Content Clutter, and Design Clutter. https://t.co/QpXRZuT0LI

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Unlike our previous research, we found no significant differences in predicted SUS scores from two types of digital twins (summary and full)—but both were very different from human scores. https://t.co/Uur22t2tCw

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The SUPR-Q has high internal-consistency reliability (Cronbach-alpha = .86). https://t.co/OppQTKWC7u

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How Much Should You Over-Recruit? https://t.co/dwdZuh1Jfi

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Math and empirical data indicate that the first few users in a formative #usability study will uncover most of the common problems that are available for discovery, but how can this help when planning these types of studies? https://t.co/IpE9knqwNF

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In an experiment with digital twins predicting SUS scores for business software, we found similar standard deviations for humans and AI but very different shapes (skewness and kurtosis). https://t.co/Uur22t2tCw

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The Product Market Fit item score is the percentage of respondents who would be very disappointed if they could no longer use a product that they have been using. https://t.co/R3M1eoUH8i

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As a #UX researcher, have you ever worried about using the wrong rating scale format? Would it surprise you to learn that it often doesn’t matter? https://t.co/uKS8ZFkd4t

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User-Centered Design and Design Thinking: Different Origins, Similar Practices. https://t.co/5WlH02tKOR

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Our analyses of three versions of a technical activity checklist indicate that a list of 16 activities is too much, 9 isn’t quite enough, and 10 is just right. https://t.co/BBeeEWpsBH

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Our study of clothing websites found that they provide experiences that are above average (collectively, at the 82nd percentile in the SUPR-Q). Individually their SUPR-Q percentiles ranged from the 50th percentile (H&M) to the 98th (Banana Republic). https://t.co/yIsT1kBJ2O

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The Origins and Evolution of Thinking Aloud. https://t.co/m6no1JdeeS

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When is a #survey question too long? Look for questions with more than 25 words or more than three commas. https://t.co/TtWbigHN8J

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Most surveys contain a mix of closed-ended (e.g., rating scales) and open-ended questions. Here are five reasons to use open-ended questions. https://t.co/qhUfWokyfX

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Some variables cannot be observed directly. Trust is one example; it can only be measured through inference. Such variables are hidden (latent). https://t.co/ANRNSk9hZp

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We found digital twin prediction of SUS scores for six software products inflated by ~10 points with radically different human/AI distributions. https://t.co/Uur22t2tCw

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The standard deviation of #metrics may not be the only factor to consider in research planning, but it is an important one. https://t.co/SD8MVMbymV

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What Happens When You Test a Mobile Prototype on Desktops? https://t.co/Wbkqbn7zI3

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Analysis of a Wright map of the 16-item SUPR-Qm revealed opportunities to streamline the questionnaire by removing redundant items. https://t.co/hFCsdncyQz