Catching Cheaters and Outliers in Remote Unmoderated Studies

Summary: In remote usability studies, it's hard to identify test participants who should not be in the study because they don't fit the profile or don't attempt the task seriously. This is even harder in unmoderated studies, but it can (and should) be done.

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Catching Cheaters and Outliers in Remote Unmoderated Studies

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Kate Moran is a former NN/G employee who worked on research, teaching, leadership, and design thought leadership. Her expertise spanned both qualitative and quantitative research methods. At NN/G Kate discovered and published ground-breaking findings on artificial intelligence (AI), interaction design, digital content, and information-seeking user behaviors.

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