What problem does it solve? Users complain they "can't find" content because navigation structures reflect org charts and internal jargon instead of user mental models. This Skill designs information architecture — organization schemes, hierarchy, labels, polyhierarchy — and proves findability with card sorts and tree tests as one generate-then-evaluate loop, so structure is never shipped untested. ## Core Features & Use Cases - IA Design: Build content inventories, choose organization schemes (topic, task, audience, exact), balance depth vs. breadth, apply information-scent label linting, and handle polyhierarchy with canonical parents. - Card Sort Analysis: Plan open/closed/hybrid sorts, avoid the terminology-match trap, and read similarity matrices and dendrograms to derive categories and user-language labels. - Tree Test Evaluation: Build text-only tree tests with goal-phrased tasks, measure success/directness/first-click against thresholds, and diagnose failures with a per-pattern fix table plus a retest rule. - Use Case: A salon services site has 40 content items and users can't find re-fitting services. Run an open card sort to discover three mental-model clusters, draft a labeled tree, tree test it, find task 4 failing at 61% success due to a missing cross-link, add the alias, retest to 94% success, and ship the validated sitemap. ## Quick Start Use the structure-information-architecture skill to organize our product's content into a sitemap and validate it with a card sort and tree test.
