NYAAPOR panelists will discuss: Card sorting and A/B testing as UX research methods.

Card sorting is a research method used to define the organization of content to help design menus, navigation, identify groups of similar content items, and site information architecture. Card sorting is a useful and widely used methodology in user research and information architecture, however many practitioners are unclear when and how to properly conduct a card sort study given their research question, what tools to use for their study, what are the recommended best practices for conducting card sorts, and how to analyze the data and make meaningful recommendations to design. This presentation will cover the background and basics of card sorting as well as best practices, tips, and tricks for the running a card sort, and an overview of the analysis, interpretation, and the application of the results.

A/B testing (also known as bucket testing or split-run testing) is a user experience research methodology. A/B tests consist of a randomized experiment with two variants, A and B. It includes application of statistical hypothesis testing or "two-sample hypothesis testing" as used in the field of statistics. A/B testing is a way to compare two versions of a single variable, typically by testing a subject's response to variant A against variant B, and determining which of the two variants is more effective.