Information architecture Study Guide

📖 Core Concepts Information Architecture (IA) – The structural design of shared information environments (e.g., websites, intranets) that supports usability and findability. Objects Principle – Defines distinct items (pages, documents, etc.) that need to be organized. Choices Principle – Limits the number of options presented at any point to prevent user overload. Disclosure Principle – Controls how much information is revealed at each navigation step. Multiple Classification – Allows an item to appear in more than one category, supporting different search strategies. Front‑Door Principle – Treats the homepage/landing page as the primary entry point for users. Faceted Classification – Organizes content by assigning several independent attributes (facets) to each item. Controlled Vocabulary – A predefined, limited set of terms used consistently across the site. 📌 Must Remember IA = structure + labeling + search + navigation. Objects → identify every distinct piece of content. Choices ≤ 7 ± 2 (Miller’s Law) to avoid cognitive overload. Disclosure: Show only what’s needed now; deeper layers reveal more detail. Multiple Classification > 1 category per item when users have varied mental models. Front Door = homepage; must clearly state purpose & primary pathways. Faceted Classification enables filtering by type, date, author, etc. Controlled Vocabulary ensures consistent tagging and improves search precision. 🔄 Key Processes Card Sorting (Open/Closed) → IA Draft Participants group cards (content items) → reveal natural categories. Open: users name groups → generate label ideas. Closed: users place cards into pre‑defined groups → test existing taxonomy. Tree Testing Build a simplified hierarchical tree (no design). Ask users to find items → measure success rate & path length. Iterate: adjust labels, depth, or grouping based on failures. Faceted Classification Setup Identify relevant facets (e.g., topic, format, audience). Define allowed values for each facet (controlled vocabularies). Tag each content item with one value per facet. Site Map Creation List all pages → group by high‑level sections → draw parent‑child relationships. Verify front‑door coverage and focused navigation paths. 🔍 Key Comparisons Card Sorting vs. Tree Testing – Sorting discovers how users think content should be grouped; testing checks how well a given hierarchy works. Controlled Vocabulary vs. Free‑Tagging – Controlled vocab: limited, pre‑approved terms → higher precision; free‑tagging: open terms → more coverage but less consistency. Faceted Classification vs. Hierarchical (Tree) Classification – Faceted: multiple independent axes, flexible filtering; Hierarchical: single path, simpler navigation but can force unnatural placements. ⚠️ Common Misunderstandings “More choices are better.” → Too many options increase decision fatigue; stick to the Choices principle. “One taxonomy fits all users.” – Users have varied mental models; Multiple Classification and faceted approaches accommodate diversity. “A site map equals a perfect navigation structure.” – A site map is a snapshot; it must be validated with tree testing and user feedback. 🧠 Mental Models / Intuition “Library vs. Supermarket” – Libraries organize by subject (deep hierarchy), supermarkets by product type (multiple classification, faceted). Think of IA as a hybrid that lets users browse like a library but also filter like a supermarket. “Front Door → Lobby → Rooms” – The homepage (front door) leads to a concise lobby (top‑level sections) that then directs users to specific rooms (detail pages). 🚩 Exceptions & Edge Cases Very Small Sites – May not need full faceted classification; simple hierarchical navigation suffices. Rapidly Growing Content – Apply the Growth principle: design taxonomy that can accommodate new categories without major re‑structuring. Highly Regulated Domains (e.g., legal, medical) – Controlled vocabularies become mandatory to meet compliance. 📍 When to Use Which Card Sorting – Early IA design, when you need user‑generated categories/labels. Tree Testing – After a draft hierarchy exists; to validate findability. Faceted Classification – Content with many dimensions (e.g., e‑commerce, digital libraries). Controlled Vocabulary – When consistency and search precision are critical (e.g., enterprise portals). 👀 Patterns to Recognize Repeated “X‑type” items → likely candidates for a facet (e.g., “Report”, “Guide”, “FAQ”). High “click‑through” failure on a particular node → indicates poor labeling or depth (tree testing signal). User complaints about “too many steps” → may violate the Choices or Focused Navigation principles. 🗂️ Exam Traps “IA only concerns visual layout.” – IA is about underlying structure, labeling, and navigation, not visual design. Confusing “Front Door” with “Home Page redesign.” – The principle stresses entry point clarity, not aesthetic refresh. Choosing “Faceted” when the content set is tiny. – Over‑engineering; the exam may penalize unnecessary complexity. Assuming “Controlled Vocabulary” equals “Thesaurus.” – A controlled vocabulary is a closed list; a thesaurus includes broader/narrower relationships and may be larger. --- Use this guide to recall the core ideas, run through the processes, and spot the classic pitfalls before the exam. Good luck!