Frustrated by the contextual vacuum of card sorts and tree tests, this method of testing IA structures emerged from a need to leverage and validate the topological relationships of an information architecture that are often understood qualitatively rather than quantitatively. This new method of testing looks to understand how a user interprets the whole, rather than measure discrete actions. This talk will outline the basics of creating hypotheses and building a series of as-simple-as-possible structural prototypes through the frame of case studies and examples.
About the speakers
Joe has been working with information spaces since 2009 and teaching professionals and university students since 2016. He leads the consulting practice at The Understanding Group where he strives to grow the next generation of IA practitioners and evolve novel, ad-hoc processes & methods into teachable, scalable practices.