card-sorting

Analyze card-sorting data to generate dendrograms and IA recommendations.

13|4|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/henrique-simoes/Istara --skill card-sorting
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: card-sorting
Source: https://github.com/henrique-simoes/Istara/tree/main/skills/develop/card-sorting
Command: npx skills add https://github.com/henrique-simoes/Istara --skill card-sorting

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Card sorting data is hard to translate into actionable information architecture decisions. This skill analyzes open, closed, and hybrid card sorts to reveal structure that matches user mental models, reducing navigation friction.

Core Features & Use Cases

  • Analyze open/closed/hybrid card sorts and synthesize dendrograms and similarity matrices.
  • Generate actionable information architecture recommendations for site navigation, taxonomies, and IA restructuring.
  • Use cases include designing navigation menus, labeling schemes, and grouping strategies for complex information spaces.

Quick Start

Upload your card sort dataset (CSV/JSON) and run the analysis to generate IA recommendations.

Frequently Asked Questions about card-sorting

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

FAQPage Schema
How do I analyze card-sorting data to improve site navigation?

Card-sorting data analysis processes open, closed, and hybrid sort results to generate dendrograms, similarity matrices, and actionable information architecture recommendations for reducing navigation friction.

What is the best way to turn card sort results into a taxonomy structure?

Card sort results are synthesized into a taxonomy structure by applying similarity matrices to identify user mental models, yielding grouping strategies and labeling schemes for complex information spaces.

Can I use CSV datasets to generate dendrograms for UX research?

CSV datasets can be uploaded directly to analyze UX research card sorts, generating dendrograms that visualize information architecture structure and matching user mental models.

Does this information architecture tool support both open and closed card sorts?

This information architecture tool supports open, closed, and hybrid card sorts, analyzing participant grouping data to produce actionable recommendations for site navigation design and IA restructuring.

When should I use similarity matrices for information architecture restructuring?

Similarity matrices should be used during information architecture restructuring when you need to translate raw card-sorting data into visual structural patterns that reveal taxonomy refinement opportunities.

How do I interpret dendrograms for labeling schemes in UX research?

Dendrograms in UX research visualize hierarchical card-sorting clusters, allowing you to extract grouping strategies and derive labeling schemes that match user mental models for navigation menus.