video1.0<iframe src="https://www.loom.com/embed/743bcac22b124fc09fe7c49e5429ad87" frameborder="0" width="2148" height="1611" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>16112148Loomhttps://www.loom.com16112148https://cdn.loom.com/sessions/thumbnails/743bcac22b124fc09fe7c49e5429ad87-aa4b5f56499f98b4.gif335.3319In this video, I provide an overview of how to leverage metric chaining to enhance our appointment setter agent's performance. I explain a scenario involving two key metrics: one for handling repeat callers and another for collecting patient information. By applying metric chaining, we can ensure that if the repeat caller handling metric returns no, we automatically check the patient information collection metric. I demonstrate this process through simulations, highlighting the importance of accurate data collection. Please review the metrics and consider implementing this chaining logic in your evaluations.