After you have conducted interviews with your users, it is time to sift through your notes and transcripts in order to get at the most important insights; this is the data, which will be your guide to what the users actually need as well as what the design requirements ultimately need to be. However, one challenge we face as designers is that the data we have gathered is qualitative and not quantitative, which means that interpreting the data requires us to make associations and inferences as we read through the users' stories, thoughts, and feelings. Fortunately, we have several strategies for translating data into design requirements.
In this course, you will practice analyzing data from your user interviews and identify insights that are not always immediately apparent. After you extract insights from your interview data, you will create a fictitious user called a persona that will serve as a model of your users and help guide your design decisions. Finally, you will create design requirements that will help as you move from explaining the current state of your users to imagining a future where they use your design to better meet their needs.
WHAT YOU'LL LEARN
Analyze the contextual interview data with affinity diagramming
Senior Lecturer and Director of MPS, Cornell Computing and Information Science
Gilly Leshed is a Senior Lecturer in the Department of Information Science at Cornell University. Her research and teaching interests are in Human-Computer Interaction (HCI) and Computer-Supported Cooperative Work (CSCW). She also serves as the Director of the MPS program in Information Science.
Dr. Leshed received her Ph.D. at Cornell in Information Science in 2009. Her Bachelor’s and Master’s degrees are from the Technion – Israel Institute of Technology in Industrial Engineering and Information Management Engineering, respectively. She also worked several years in the industry as an HCI expert for commercial flight-deck avionics systems as well as command and control systems for military purposes.