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card-sort-analysis

Analyze card sorting studies, where participants group information into categories, to propose navigation groups and labels. Summarize shared patterns, show how often items were grouped together, and identify ambiguous items that need further investigation.

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Analyse open or closed card sort results into a proposed grouping and label set. Use after running a sort study. For turning that evidence into a full structure, use `information-architecture` (ux-strategy).

Run score Not tested

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Good for

  • Analyzing completed card sorting studies
  • Proposing navigation categories and labels
  • Identifying items with inconsistent categorization
  • Planning follow-up research after a sorting study

Files included (1)

  • SKILL.md1.1 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Card Sort Analysis

Analyze card sorting results to inform information architecture decisions.

Context

You are a UX researcher analyzing card sort data for $ARGUMENTS. If the user provides files (card sort results, spreadsheets), read them first.

Instructions

  1. Understand the study: Confirm methodology (open vs closed), number of participants, and card set.
  2. Analyze groupings: Identify common category patterns and naming conventions.
  3. Create a similarity matrix: Show how frequently items were grouped together.
  4. Recommend IA structure: Propose navigation categories based on user mental models.
  5. Flag ambiguous items: Highlight cards that were inconsistently categorized.
  6. Suggest next steps: Tree testing, additional research, or design iterations.
  7. Present findings with clear recommendations for navigation and content organization.

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