Great information architecture transforms content into a system users can trust. It’s more than labeling or hierarchy, it’s understanding user needs, structuring content around real tasks, and designing a framework that can grow with the product. When IA is done well, users don’t notice it, they just find what they need, fast.
When designing the information architecture for a multi-role centralized documentation system, I focused on:
Understanding user needs through research and stakeholder insights
Planning structure, organization, and labels based on user roles, workflows, and content priorities
Documenting the IA clearly through diagrams, templates, and naming standards
Testing and refining the structure using analytics, feedback, and evolving product needs
This approach supported diverse users, reduced support volume, and improved discoverability and usability.
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Built a strategy & structure
Insights & evolution
Became a critical resource