Information Architecture

Table of Contents

• Overview
• When to Use
• Quick Start
• Reference Guides
• Best Practices

Overview

Information Architecture creates logical structures that help users find and understand information easily.

When to Use

• Website or app redesign
• Large information spaces (documentation, e-commerce)
• Navigation structure planning
• Taxonomy and categorization
• Search functionality design
• User journey mapping

Quick Start

Minimal working example:

IA Process:

1. Research & Discovery
  - Interview users about mental models
  - Card sorting sessions (open and closed)
  - Analyze current usage patterns
  - Competitive analysis

2. Structure Development
  - Create organization scheme (hierarchical, faceted, etc.)
  - Define categories and relationships
  - Build taxonomy
  - Plan navigation

3. Wireframing
  - Sitemap creation
  - Navigation structure
  - Page templates
  - User flows

4. Validation
  - User testing with prototypes
  - Tree testing (navigation only)
  - Iterate based on feedback

// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

| Guide | Contents | |---|---| | Card Sorting & Taxonomy | Card Sorting & Taxonomy | | Sitemap & Navigation Structure | Sitemap & Navigation Structure | | Search & Discovery | Search & Discovery |

Best Practices

✅ DO

• Start with user research
• Conduct card sorting studies
• Use user mental models
• Keep hierarchy 3 levels deep max
• Use clear, simple labels
• Enable multiple ways to find content
• Test navigation with users
• Update based on usage data
• Document taxonomy
• Provide search functionality

❌ DON'T

• Impose organizational structure without research
• Use jargon or technical terms
• Make hierarchy too deep
• Bury important content
• Rely only on navigation (provide search)
• Change navigation frequently
• Create ambiguous labels
• Forget about edge cases
• Ignore accessibility
• Assume desktop-only navigation