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Aim for 3050 participants for an open card sort (and more for hybrid and closed card sorts) Running an open card sort with OptimalSort is a generative exercise: the results give you lots of ideas of how you could label and organize your website content.
Choose a set of topics. The set should include 4080 items that represent the main content on the site. User organizes topics into groups. Usernames the groups. Debrief the user. If needed, ask the user for more-practical group sizes. Repeat with 1520 users. Analyze the data.
The main quantitative data from a card sorting study is a set of similarity scores that measures the similarity of user ratings for various item pairs. If all users sorted two cards into the same pile, then the two items represented by the cards would have 100% similarity.
Reverse card sorting (also called inverse card sorting, reverse lookup, or tree testing) is a variation on closed card sorting where you place cards representing content, tasks, or navigation items onto a predetermined hierarchy (or other type of structure) and then assess how often users placed the cards into the
Tree testing is an activity that requires participants to seek information, which is quite the contrast to card sorting an activity that requires participants to sort and organize information. Each activity requires users to behave in different ways, so each method will give its own valuable results.
Card Sorting. Card sorting is a method used to help design or evaluate the information architecture of a site. In a card sorting session, participants organize topics into categories that make sense to them, and they may also help you label these groups.
Step 1: Identify the Common Categories. Step 2: Create a Matrix. Step 3: Calculate the Percentages. Step 4: Group the Cards. Step 5: Analyze the Distribution of Percentages, Group by Group. Step 6: Make Your Decisions.
Card sorting is a technique in user experience design in which a person tests a group of subject experts or users to generate a deprogram (category tree) or folksonomy. It is a useful approach for designing information architecture, workflows, menu structure, or website navigation paths.
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