Card sorting · Analysis

How to analyze card sorting results

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. Use this workflow to inspect the results, compare interpretations and choose what to test next.

1. Check the sample

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. Review unusual arrangements and completion times against the study's quality criteria. Remove setup test runs from the research sample. It is also where you first notice that participants who grouped the cards differently 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 what to inspect

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?Groupings and pair countsCards between groups; contested cardsSimilarity matrix and dendrogram guides
How were supplied categories used, and what categories were added?Placement; additionsCategory use; new categoriesClosed · Hybrid

What each result shows

Labels
What participants called their groups. Evidence about vocabulary and, through what each label held, about the organizing principle. Says nothing about how strongly cards belong together.
Pairwise
How many sorts put two specific cards together. Compare several pair counts to investigate a card's possible groupings. A count alone does not choose its location or label.
Grouping
The dendrogram: every sort pooled into one tree, cut at a threshold. Shows candidate groups; can obscure differences between participants' mental models.
Detected mental models
UXbeam's Mental Model Detection identifies recurring ways participants organized the cards. It analyzes individual participant sorts, which can reveal different mental models that a pooled matrix or dendrogram may obscure.

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. Consider other explanations

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

ObservationReading AReading BWhat would settle it
Returns has similar pair counts with order-related and support-related cardsA 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
More than one mental model detectedSeveral 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
Three mental models in one set of card sort results: 9 of 20 participants treated Returns as a step in the order journey, 7 as a problem to get help with and 4 as money coming back, with a bar showing the largest group is below half.

Detailed view: all three mental models with every card in each group, a dot strip for all twenty participant sorts, and a bar showing the largest group is 9 of 20, below half.

5. Form candidate structures

Draft alternatives for differences that matter to the navigation question. 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. A tree test can compare where people expect to find Returns.

Three plausible sitemap placements for Returns, under Orders and Delivery, under Help, and under Help with a shortcut from Orders and Delivery, each marked with the mental model it fits and its risk.

Detailed view: three candidate sitemaps for Returns drawn in full, each showing the surrounding branches, the mental model it serves and the risk it carries.

6. Decide what still needs validation

  • Choose tasks for important contested placements alongside other priority user tasks. UXbeam lists the cards participants placed in different categories for exactly this reason.
  • Test consequential label choices in otherwise comparable category sets or tree-test versions.
  • 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 through successive levels of labels. The tree testing guide covers the test.
Two candidate sitemaps tested with the same return task, 24 recorded paths each. Candidate A, with Returns under Orders and Delivery, records 9 direct, 5 indirect and 10 elsewhere. Candidate B, with Returns under Help, records 13 direct, 6 indirect and 5 elsewhere.

Two candidate trees tested with the same return task. Tree A, with Returns under Orders and Delivery, records 9 direct, 5 indirect and 10 elsewhere of 24. Tree B, with Returns under Help, records 13 direct, 6 indirect and 5 elsewhere of 24, with first-click counts above each.
The full chain from twenty participant sorts, through the pairwise similarity matrix and the dendrogram, to three candidate placements for Returns and the tree-test result for two of them.

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 had consistent placements, which split, which categories attracted everything or nothing. Patterns here are category-use patterns. Reading a closed sort.

Hybrid

Additions first: which categories participants created, how often, and which cards they contained. Then placement within your categories. Interpreting new categories.

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

Analyze your card sort

Read individual sorts alongside the broader patterns. When a grouping merits testing, open it as an editable sitemap.

Create a free card sort