<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/f022f63890444661a73d602f8e7353a2&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/f022f63890444661a73d602f8e7353a2-d272a48f42014000.gif</thumbnail_url><duration>100.787</duration><title>Understanding Shilo&apos;s Reasoning</title><description>In this video, I delve into Shilo&apos;s reasoning behind call ratings and AI coaching. Shilo aims to provide transparent, real time feedback to help agents understand their ratings and improve their performance. By explaining the rationale behind each rating and offering tips for improvement, Shilo empowers agents to make impactful changes in their interactions. Watch to discover how Shilo will help can enhance your call handling skills and boost customer satisfaction.

Here is a link to video referenced in this: https://www.loom.com/share/1b37828f7bde4af08d8dc5934067ee12?sid=b68ae569-658a-493e-9dd5-065f4fc00025</description></oembed>