Information Architecture
Turning controlled vocabularies into seamless shopper journeys.
I turn taxonomy models into practical Information Architecture (IA): navigation, search, and filters that map back to a controlled vocabulary.
Taxonomy-driven IA reduces dead ends and zero-hit searches, supports scalable filtering, and enables clean developer handoff.
This case study is organized as eight short chapters, from label discovery and tree testing to faceted navigation design and a developer-ready taxonomy specification.
Explore the IA Chapters
Chapter 1: Benchmarking & Early Label Discovery
Chapter 2: Validating Top-Level Categories with a Paper-Based Tree Test
Chapter 3: Taxonomy-Driven Navigation Prototype
Chapter 4: Facet Audit & Search-Refine Prototype
Chapter 5: Faceted Navigation Design
Chapter 6: Taxonomy Specification via JSON Schema
Chapter 7: Hybrid Category Page Information Architecture
Chapter 8: Continuous Information Architecture Governance Loop