User-centered research for structure (card sorting, tree testing, usability studies)
Taxonomy and labeling (clear categories, consistent naming, plain-language labels)
Content modeling and metadata planning (structuring content so it can scale and be reused)
Systems thinking (seeing how parts of a product and its content fit together over time)
Collaboration and stakeholder management (driving alignment across teams)
Data-informed decision making (using qualitative insights and product metrics together)
Information design artifacts (sitemaps, flows, diagrams, documentation)
Search and navigation fundamentals (how people browse vs. search; improving findability)
Accessibility and inclusive content structure (logical order, clear labels, predictable navigation)
Team leadership (mentoring, setting standards, reviewing work, and building IA practice)