{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/abb6cf2d5ce84e428eedf8c005dfdb48\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/abb6cf2d5ce84e428eedf8c005dfdb48-337f3b04c164874f.gif","duration":560.214,"title":"Aligning Scheduling Language with User Mental Models","description":"This Loom focuses on the mental model and vocabulary Shift Alarm uses during scheduled creation. The speaker notes that onboarding introduces many engine-specific terms like painting a rotation, start practicing, preview matching, and locking pattern, which users must learn before they understand value. Analytics behaviors such as tutorial replays, resets, undo actions, backtracking, and abandonment suggest users are trying to understand how the system works rather than simply complete steps. They also call out inconsistent terminology and similar actions like reset and start over, recommending aligning language and workflow around what users naturally expect, such as adding a work schedule and confirming the schedule."}