video1.0<iframe src="https://www.loom.com/embed/70386ccee5a349b7b79e90d159d3d1b0" frameborder="0" width="1114" height="835" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8351114Loomhttps://www.loom.com8351114https://cdn.loom.com/sessions/thumbnails/70386ccee5a349b7b79e90d159d3d1b0-974cc9f143284189.gif309.872In this video, I walk you through our application’s issues view, which is powered by a set of customizable rules that help us identify behavioral problems with our agents. We check for issues like incorrect information being provided and false positives, and I demonstrate how we can confirm or dismiss these issues based on our knowledge base. For example, I show a case where an agent incorrectly states a minimum balance requirement that has been removed, which we confirm as a valid issue. I also explain how we can add exceptions for speech-to-text errors to refine our rule set. Please review the issues presented and consider how we can improve our agent's performance by addressing these concerns.