card-sort-analysis

Analyze card sort results to generate similarity matrices and recommended IA taxonomies.

Updated Mar 16, 2026

Search Tags:#navigation #ux-research #information-architecture #card-sort #ia-analysis #usability-research

Ready to run

npx skills add https://github.com/soeiroo/multifunctional-web --skill card-sort-analysis-soeiroo

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: card-sort-analysis
Source: https://github.com/soeiroo/multifunctional-web/tree/main/.agents/skills/card-sort-analysis
Command: npx skills add https://github.com/soeiroo/multifunctional-web --skill card-sort-analysis-soeiroo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Card sort results are noisy without structured analysis; this skill helps translate user grouping data into actionable information architecture decisions that align with mental models and improve navigation.

Core Features & Use Cases

Generate a similarity matrix showing how often items were grouped together.
Identify common categories and naming patterns to inform a navigation taxonomy.
Produce actionable IA recommendations, including labeling and structure, with next steps like tree testing.

Quick Start

Upload your card-sort results and I will generate a similarity matrix and recommended IA structure.

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 translates user grouping data into a prioritized information architecture by generating similarity matrices and grouping patterns to form a recommended navigation taxonomy.

What is the best way to process open and closed card sort data?▼

Processing open and closed card sort data involves analyzing participant groupings to identify common categories and naming patterns, which informs a structured information architecture taxonomy.

Can I use spreadsheet data to identify information architecture patterns from usability research?▼

Yes, you can use structured spreadsheet data from usability research to calculate item groupings and generate actionable information architecture recommendations.

How do I turn a similarity matrix into actionable UX research recommendations?▼

A similarity matrix identifies how often items are grouped together, allowing you to extract common categories and output a prioritized information architecture structure with next steps like tree testing.

Do I need structured input data to generate a recommended IA taxonomy?▼

Yes, structured input data such as spreadsheets or raw card sort results is required to accurately calculate grouping patterns and produce a reliable navigation structure.

Card sort analysis not working with varying participant counts, what are the limitations?▼

Card sort analysis accommodates varying participant counts and item sets, but requires accurately structured input data to identify grouping patterns and avoid noisy information architecture recommendations.