A card sorting tool people can actually take.
Open or closed sort, drag-and-drop for participants, a real share link. See which cards people group together and, for open sorts, the names they chose. Free, no signup.
Three steps, no facilitator required.
1. Add your cards
Enter your real content items, one per card -- up to 60.
2. Choose open or closed
Let participants create their own groups, or have them sort into categories you provide.
3. Share the link and read the results
See which cards were grouped together most often and, for open sorts, the names participants chose.
Edit the example, or start your own.
Pre-filled with content from an insurance broker portal as an open sort, so you can see the whole tool working before touching anything.
Cards
Already have a study?
Paste your study key and results (owner) key to view your results.
A sort gives you a hypothesis, not a spec.
Card sort results show you patterns of agreement, not a finished navigation. Where agreement is strong, trust it. Where it's split, that's real information too -- it usually means a card genuinely belongs in more than one place, which is worth designing for rather than forcing a single answer. No participant panel is included -- you supply the testers -- and a small sample should be read as indicative, not conclusive.
Common questions
What's card sorting?
Card sorting shows participants a set of content items -- one per "card" -- and asks them to group the ones that belong together. It's how you discover a navigation structure that matches how real people think, rather than one designed around your own team's internal logic, before you build anything.
Open sort or closed sort -- which do I need?
Open sort: participants create their own groups and name them, which is best when you don't have a structure yet and want to discover one from scratch. Closed sort: you provide the categories and participants place cards into them, which is best for checking whether an EXISTING or proposed structure makes sense before you commit to it.
How many cards should I use?
Somewhere around 30-60 cards is typical for a full information architecture exercise; this tool caps you at 60. More than that and participants tend to fatigue and sort carelessly toward the end, which quietly corrupts your results without looking like a problem.
What do the results actually show?
Which pairs of cards were grouped together most often, as a percentage of everyone who took the study -- the closer to 100%, the stronger the agreement that those two belong side by side. For an open sort you also see the group NAMES participants chose most, which is often the more useful finding: it tells you the language your actual users reach for, not the language your team uses internally.
Want help turning results into a real IA?
Tell us what you're working on.
Part of a set
Once you have a structure, validate it with the Tree Testing Tool, or check a single screen with the First-Click Test Tool.
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