Our challenge was to create a working prototype based on some storyboards that implied certain functionality and a scratch demo that needed to be completely rewritten. The intended app would allow a trainer of ‘teacher’ to log in, and set to record a session for ‘students’ -or trainees to then follow. What makes this app unique is the session is localized or generalized to a given location. The trainee could then login and call up this training lesson and walk through it, using both voice and geo-spatial cues and media to follow along. Imagine having the voice of the trainer talking you through a training session as you walked through your workspace, coming upon pieces of video they recorded to show explicit examples, and a sprite system (breadcrumbs) making sure you know where the lesson is going.
Helping to lead the team through a four-month sprint, we focused on bringing the UX/UI up to expectations, working very fast and very closely with the frontend team versing themselves on ML UI standards for the first-gen headset. Concurrently, developers stood up the backend architecture including the basis of a content management system as part of the overall deliverable.
