How can we tell good Information Architecture from bad? What can we use to evaluate our work and persuade coworkers and clients that it’s good – or to pivot if it’s bad? More than this, what tools will help us understand how well we’re practicing and teaching IA overall, and help us develop IA as a discipline?
Information architecture needs a framework for addressing how we think about and improve our field at multiple levels. We need a language of critique. This talk introduces audience members a movement currently underway to develop a robust framework for IA critique.