{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/9a82f4e853d74adcad0d866e1ee7f116\" 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/9a82f4e853d74adcad0d866e1ee7f116-0f4d6a8e154e0d36.gif","duration":269.953,"title":"Mentor and Seeker Story Matching Dashboard","description":"This Loom demonstrates how the platform works for recording and matching student and mentor stories, including organization-level analytics and safety review. It explains that users can record a course or story, submit it for transcription, safety checking, emotion understanding, and matching to a similar story, with a demo example noting a 53% fit and themes such as belonging and adjusting to a new school. On the mentor side, users can review their matched story in depth, including primary emotion, themes, and a readable transcript. For university or college administrators, the Loom describes a dashboard showing top emotions in the last 30 days, top 10 themes, engagement metrics, theme spikes, and sentiment trends, plus a safety queue where borderline harmful statements can be reviewed and marked for true or false positives, including an example where an automatic discard occurred."}