What is information architecture?

Information architecture is about fostering understanding by structuring information in a way that makes sense to people so it can be easily found, used, and re-used across different devices and contexts. Thoughtful information architecture and taxonomy helps users navigate more easily to information and follow meaningful relationships among information. It supports internal and external search, ensuring that users get relevant and accurate search results to support their goals.

How do we organize information to improve “findability”?

Our team of information architecture experts focuses on your users’ tasks and intent for finding and using your information, aligning that with its structure and metadata. Working closely with your stakeholders and users, we clarify the context of use and inter-relationships of the data and information, and establish content relationships that are based on user mental models. We recommend tagging and linking schemas to help users draw connections and move among pieces of information in a meaningful way -- allowing for both purposeful task completion and serendipitous discovery.

How do we incorporate dynamic data into information architectures?

Thoughtful information architecture helps improve content management systems, content sharing, APIs, and semantic structuring. We recognize that metadata, classification, and content sources are not static things, and are often collaborations across departments and organizations. They evolve dynamically, in data-driven rather than manual ways. Through strategic use of graph models and metadata, we help you realize the full potential of your data, including interconnecting related ideas, creating visualizations, and driving rich user engagement.

Our methodology includes 
  • Knowledge management strategy
  • Content and metadata analysis
  • Navigation design
  • Taxonomy/ontology review and design
  • Search integration and design
  • Linked data and knowledge graph modeling
  • Structuring information for people, code and AI
  • Integrating content with applications
  • Emergent taxonomy/folksonomy planning
  • Content and data sustainability planning