Information architecture

Information architecture (IA) refers to the practice of organizing and structuring content sustainably and effectively with the end purpose of helping users find information and complete tasks faster. With the help of IA, system owners can define relationships between different content pieces, thus creating more context for disparate content pieces. Going one step further, with the help of structured content, information can be tagged and categorized at an even more granular level. This way, search results can be more specific to the user’s search query, saving time for finding the exact information they are looking for. 

When implemented effectively, information architecture addresses the following aspects of information management: search system (define how users can search for information), labeling systems (help determine what information will appear in search queries), navigation systems (refer to how the user can sift through content) and organization structures and schemes of the content itself.

Example use cases

  • Easy to navigate e-commerce platforms 
  • Intuitive booking experiences for the hospitality industry 
  • Accurate answers to user manual queries 
  • Increased productivity for field service teams

Key benefits

  • Create a manageable and sustainable set of information 
  • Improve UX and speed of search experiences 
  • Allow users to discover content they didn’t know about and is relevant to them 
  • Increased response accuracy for knowledgebase queries 
  • Create and maintain machine-ready information