Information architecture is the practice of organizing, cataloging, and presenting large sets of information in a helpful way. Good IA takes deliberate effort and planning. Without it, the systems you implement will inevitably fail to accomplish its purpose. Since good IA is invisible, executive leaders mistakenly assume that it comes as a package deal— their company intranet will be ask discoverable as Wikipedia. > They distinguish 4 main types of needs as: > > - **Known-item seeking**: Users will come to the website to search for something desirable and known. > - **Exploratory seeking**: Users will come to the website looking for inspiration. They’re looking for something desirable but not sure what exactly. > - **Exhaustive research**: Users are in a process of an extensive research. They want to find as much information as possible. > - Re-finding:A user needs a desired items again and are trying to find it. > In 1999, the International Data Corporation (IDC) conducted research into knowledge workers to find out the financial cost of this. They considered things like how long workers spend searching for information each week and how much time they spend creating content that already exists because they couldn’t find it. They estimated the cost of this “knowledge work deficit” at $5000 per employer every year. Source: https://careerfoundry.com/en/blog/ux-design/a-beginners-guide-to-information-architecture/