card-sort-analysis

Analyze card sorting results to generate similarity matrices and IA recommendations.

38|5|Updated Feb 24, 2026
One-click install
npx skills add https://github.com/launchapp-dev/animus-cli --skill card-sort-analysis-launchapp-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: card-sort-analysis
Source: https://github.com/launchapp-dev/animus-cli/tree/main/.claude/skills/card-sort-analysis
Command: npx skills add https://github.com/launchapp-dev/animus-cli --skill card-sort-analysis-launchapp-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Card sort analysis helps teams understand how users group information to inform navigation and IA decisions, saving time and guiding structure.

Core Features & Use Cases

  • Similarity matrix: Quantifies how often items were grouped together across participants.
  • IA recommendations: Proposes navigation categories aligned with user mental models.
  • Ambiguity flagging: Highlights cards with inconsistent categorizations to guide design iterations.

Quick Start

Analyze your card sort data by providing the results file and I will generate an IA-focused report with actionable recommendations.

Frequently Asked Questions about card-sort-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze card sort results to build a website navigation structure?

Card sort analysis processes your study data to generate a similarity matrix and actionable information architecture recommendations, proposing navigation categories aligned with user mental models.

What is a similarity matrix and how does it inform information architecture?

A similarity matrix quantifies how often items were grouped together across participants. It highlights user mental models to guide the creation of intuitive navigation and information architecture.

Can I analyze both open and closed card sort studies using uploaded data files?

Yes, you can analyze both open and closed card sort studies. The analysis requires a results file with multiple participants and a defined card set to process the data accurately.

How do I identify ambiguous cards in my information architecture research?

Ambiguity flagging highlights cards with inconsistent categorizations across participants. This guides design iterations by pinpointing items that confuse users and require clearer labeling.

What is the best way to translate user mental models into actionable IA recommendations?

By generating a report from your card sort results, you obtain actionable IA recommendations that propose navigation categories directly aligned with observed user mental models.

Do I need a specific data format to analyze card sorting results for usability?

You need to provide an uploaded data file containing your card sorting results. The file must capture multiple participants and a defined card set to successfully inform usability and navigation decisions.