Card Sort Analysis
SkillAI & modelsAnalyze card sorting results to inform information architecture and navigation structure. Use after conducting open or closed card sort studies.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Card Sort Analysis skill
What this skill tells your AI
The instructions your AI receives, as published by infrasity-labs/dev-gtm-claude-skills in .claude/skills/card-sort-analysis/SKILL.md and read by ahel’s review.
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
- Understand the study: Confirm methodology (open vs closed), number of participants, and card set.
- Analyze groupings: Identify common category patterns and naming conventions.
- Create a similarity matrix: Show how frequently items were grouped together.
- Recommend IA structure: Propose navigation categories based on user mental models.
- Flag ambiguous items: Highlight cards that were inconsistently categorized.
- Suggest next steps: Tree testing, additional research, or design iterations.
- Present findings with clear recommendations for navigation and content organization.
Signals
- GitHub stars
- 124
- Forks
- 10
- Last commit
- Jun 2026
Advanced
- Catalog kind
- skill
- Gateway key
card-sort-analysis- Source
- github.com/infrasity-labs/dev-gtm-claude-skills