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ia-practitionerlisted

Apply practitioner Information Architecture frameworks to any design project. Built from Spencer, Morville & Rosenfeld, Covert, Marquis, Krug, Glushko, and Resmini & Rosati. Use whenever working on site structure, navigation, content organisation, labelling, classification schemes, search systems, card sorting, IA testing, sitemap creation, or any UX task involving how to group, label, or connect content. Apply even when the question is phrased as a WordPress/Elementor design question — IA underpins all navigation and menu decisions.
sidhanth-povil/ia-practitioner · ★ 4 · Web & Frontend · score 75
Install: claude install-skill sidhanth-povil/ia-practitioner
# IA Practitioner — Multi-Source Framework Built from seven practitioner texts. See reference files for depth on specific topics. --- ## Core Model: People × Content × Context *(Morville & Rosenfeld / Spencer)* Every IA decision lives at the intersection of three things: | Dimension | What to understand | |---|---| | **People** | Tasks, mental models, terminology, knowledge level, context of use | | **Content** | What exists, structure, format, volume, dynamism, metadata quality | | **Context** | Business goals, constraints, tech stack, stakeholders, org culture | Missing any one of these = guaranteed IA failure. --- ## The Three Jobs of IA 1. **Organise** content into groups that make sense to users (not to the org) 2. **Describe** those groups with labels users recognise 3. **Provide paths** for users to reach what they need --- ## IA Project Phases ``` 1. Define → Goals, constraints, stakeholders, tech, culture 2. Research → Learn about People + Content 3. Design → Draft IA, labels, nav 4. Test → Validate before building 5. Build → Implement + communicate rationale 6. Maintain → Document decisions + guidelines ``` Research + communication take more time than design. Never skip them. --- ## Understanding People ### What to learn - What tasks they need to do (not what they think they need) - Their **exact terminology** for things — this is the most valuable research output - What they already know (topic + technology) - Where and when they us