{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/eccc6dca3bd145108d785a896fe3bb4b\" 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/eccc6dca3bd145108d785a896fe3bb4b-73d3a74a7ab5b098.gif","duration":240.263,"title":"Optimizing User Flow Analysis with Unsupervised Learning","description":"In this video, I walk you through the issues and discovery projects dashboard, highlighting how we use unsupervised learning to analyze session replays and identify user flow interruptions. I recommend filtering by product areas and utilizing documentation to enhance AI accuracy. Additionally, I demonstrate how to create a space for tracking user experiences with technical glitches. If you need assistance setting up user group filters, please let me know, as this can provide valuable insights. Overall, I encourage you to explore these tools to better understand user behavior and improve our product."}