Information architecture fundamentals (navigation models, labeling systems, category structures)
Search and findability optimization (filters, synonyms, relevance tuning, handling poor/empty results)
Taxonomy and metadata design (clear rules for tagging and naming; scalable structures)
User research methods for findability (card sorting, tree testing, usability testing, analyzing search logs)
Data literacy (defining success metrics, reading dashboards, turning insights into changes)
Content strategy collaboration (aligning structure with content quality and lifecycle)
Cross-functional leadership and stakeholder management (driving decisions across product/design/engineering/content)
Systems thinking (designing structures that work across channels, teams, and time)
Governance and operating models (processes, roles, standards, change management)
Communication and documentation (clear guidelines, examples, and decision records)