Card sorting · Analysis

Card sort analysis: what to inspect, what you can conclude, what to test next

By UXbeam · Information architecture tools since 2021 · Published September 21, 2026

Results arrive as several views of the same sorts, and each view answers a different question. This page is the order to read them in, what each can settle, and where the conclusions run out and a tree test begins. The guide lists the views; this page is the workflow.

1. Confirm the evidence

Before reading a single group, write down what the results are made of: how many participant sorts are included, how many were excluded and why, the dates, and how people were recruited. UXbeam shows the participant count on the results page and keeps excluded participants listed separately. A pretest structure, if one was generated, is shown apart from participant results and is not part of what follows.

2. Inspect individual sorts

Open several sorts and read them as a person's reasoning. This is where you catch the sort with one group, the sort finished in a minute, and the colleague's test run. Exclude those with a written reason. It is also where you first notice that two coherent people organized the cards on different principles; keep both. The open sort protocol has the review table.

Finish quality exclusions before you start interpreting. Every view, including the detected mental models, is rebuilt from the sorts you keep.

3. Choose the view by the question

Your questionKind of evidenceView in UXbeamHow to read it
What did people call things?Participant-written labelsCategory labels, with countsOpen sort: participant labels
Do these two cards belong together?PairwiseSimilarity matrixThe similarity matrix
What groups emerge across everyone?GroupingDendrogram, at a similarity thresholdThe dendrogram
Is there one way of organizing this, or more?Detected mental modelsMental Model DetectionMental Model Detection
Which cards will be hard to place?Grouping and pairwise togetherCards between groups; contested cardsBelow, and the two view pages
Did the supplied categories hold or cover the content?Placement; additionsCategory use; new categoriesClosed · Hybrid

Four kinds of evidence, not interchangeable

Labels
What participants called their groups. Evidence about vocabulary and, through what each label held, about the organizing rule. Says nothing about how strongly cards belong together.
Pairwise
How many sorts put two specific cards together. The atomic unit. Can arbitrate one card's home; cannot name anything and cannot show a whole structure.
Grouping
The dendrogram: every sort pooled into one tree, cut at a threshold. Shows candidate groups; hides disagreement, because a group can be half the people always and the other half never.
Detected mental models
UXbeam's Mental Model Detection separates the distinct ways participants organize the card set. Each detected mental model is a shared way of organizing the domain and yields a structure of its own, which is what tells you whether the pooled tree describes anyone.

The usual mistake is reading one as another: taking the dendrogram as what participants think, or taking one detected mental model as the whole audience.

4. Record competing readings

For every observation that matters to the structure, write two readings and what would decide between them. Illustrative:

ObservationReading AReading BWhat would settle it
Returns sits between the orders group and the support group across nearby thresholdsA return is an order eventA return is a request for helpA tree test task about sending an item back, on each placement
Two labels with similar counts for the same group: Payments and BillingSynonyms; either worksTwo audiences with two vocabulariesWhich participants used which, and a closed sort or tree test on each name
Two mental models detectedTwo coherent ways of organizing the cardsOne difference may be concentrated in a small part of the structure rather than the whole domainCompare the mental models card by card, then build each meaningful alternative as a candidate structure

5. Form candidate structures

One candidate per detected mental model. If the sorts agree, that is one; if Mental Model Detection reports two mental models, that is two, and averaging them would produce a structure neither group proposed. In UXbeam, Sitemap + opens the dendrogram at the current threshold, or one detected mental model, as an editable sitemap. Rename, merge, move; then write, under each candidate, the assumption it rests on. "Assumes people think of returns as an order event" is an assumption a tree test can check.

6. Decide what still needs validation

  • Every contested card becomes a tree test task. UXbeam lists the cards participants placed in different categories for exactly this reason.
  • Every label decision between two names with similar counts becomes either a closed sort on the two names or a task in each version of a tree test.
  • Every candidate structure is tested with the same tasks, so that the comparison is between structures and not between task sets.
  • Findability is a tree test question. A sort shows where participants put a card when they see every card; a tree test shows whether they can reach it from one level of labels. The tree testing guide covers the test.

By sort type

Open

Labels first, then the sorts, then the dendrogram, then detected mental models. The labels show the language participants chose while organizing the cards.

Closed

Placement first: which cards agreed, which split, which categories attracted everything or nothing. Patterns here are category-use patterns. Reading a closed sort.

Hybrid

Additions first: what participants created, how often, holding what. Then placement within your categories. Interpreting new categories.

Two real analyses, carried through to a decision, are summarised on the examples page, with links to the full studies.

Read your own results this way

Every view above is generated from your study as sorts arrive, and any grouping opens as a sitemap for testing.

Create a free card sort