I’ve been making these hand drawn wireframes that attempt to map out some ways of correlating different self reported healthcare metrics. Making these drawings raised some questions about how information is read and understood. How much does the layout and physical/visual design of the information inform our understanding of the data? What kind of decisions do we need to make to achieve maximum visual/behavioural affordance? Visual haptics have a large part to play obviously but what about the conscious bias necessary to make sense of large data sets. Cognitive understandings are driven primarily by context and experience so we need to manipulate these factors with pre-awareness matched to an appropriate predictive analysis method.