{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/0dceb75dd433455d9ee721036887476d\" 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/0dceb75dd433455d9ee721036887476d-cb3591a5fab7a428.gif","duration":94.379,"title":"Enhancing AI Match Scores with Video Screening Insights","description":"In this video, I’m providing an update on our AI score matching feature that we launched last month, which has received positive feedback from initial users. We identified a gap in the process where candidates' video screenings could influence their AI match scores, so we’ve implemented a new system to record and transcribe these videos. This allows us to extract additional data and rerun the AI match, often resulting in an updated score. I encourage everyone to familiarize themselves with this enhancement as it can significantly improve our candidate evaluation process."}