I think that correlations of 0.90 (for 15 users) or maybe 0.93 (for 20) are good enough for most practical purposes.
Subscribe to our Alertbox E-Mail Newsletter: The latest articles about interface usability, website design, and UX research from the Nielsen Norman Group. Using the information gathered in a card sorting session, you’ll have a better idea of how to structure your site to cater to your target market. ... Kathryn Whitenton is Nielsen Norman Group's Director of Digital Strategy. But most projects have very limited resources for user research; the remaining 15 users are better "spent" on 3 qualitative usability tests of different design iterations. Because the methods differ in two key ways: If you have an existing website or intranet, testing a few users will tell you whether people have trouble with the information architecture. Subscribe to the weekly newsletter to get notified about future articles. Sounds like a good thesis project for a graduate student who's looking to research something with real-world impact (hint, hint). Kathryn Whitenton: You must have javascript and cookies enabled in order to display videos. For most usability studies, I recommend testing 5 users, since that's enough data to teach you most of what you'll ever learn in a test. She works with clients to evaluate the user experience and information architecture of websites in a variety of industries including technology, telecommunications, and media, as well as corporate intranets. (2004) How Many Users Are Enough for a Card-Sorting Study?, Usability Professionals Association (UPA) 2004 Conference, Minneapolis, MN, June 7–11, 2004. She works with clients to evaluate the user experience and information architecture of websites in a variety of industries including technology, telecommunications, and media, as well as corporate intranets. Eine Karte, die eine Informationseinheit einer Versicherungsanwendung wiedergibt, wird z. Diese und andere Karten wer… Tullis, Tom, and Wood, Larry. But when a quantitative study confirms what's already known, it's likely to be correct, and you can use the new numbers as decent estimates, even if they're based on less data than you would ideally like. For card sorting, however, there's only a 0.75 correlation between the results from 5 users and the ultimate results. Subscribe to the weekly newsletter to get notified about future articles. Use it to create an IA that suits your users' expectations. Card sorting can also be done either face-to-face and offline (again, ... Jakob Nielsen advises against using topics that contain the same words because participants tend to group those cards. The keyword-matching problem can also mess up other user research methods, such as card sorting. Card sorting is a UX research technique in which users organize topics into groups.
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