video1.0<iframe src="https://www.loom.com/embed/eccc6dca3bd145108d785a896fe3bb4b" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/eccc6dca3bd145108d785a896fe3bb4b-73d3a74a7ab5b098.gif240.263In 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.