Fluency

Design Overview

Of our user research findings, help with data entry was the best match to natural language technologies. While other user needs, such as supporting the users’ work process, were also a good match with natural language technologies, those needs fell outside our scope and would not have as large of an impact for our users. Therefore, we chose to focus our design efforts on a system that makes data entry easier, faster and more fun.

Our design process consisted of ideation, concept validation, wireframing, prototyping, and user testing. We involved users in the ideation process, concept validation, and user testing. We created a total of 11 prototypes and had 31 user tests/interviews during the design phase of the GrabIt extension.