<?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/cad6636e36c547b8bcb17643906348ef&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/cad6636e36c547b8bcb17643906348ef-1688108879715.gif</thumbnail_url><duration>173.83999999999997</duration><title>Analytics: Hiring</title><description>Hey there! In this Loom, I&apos;ll walk you through the hiring section of the analytics tab. We&apos;ll dive into the data related to the number of candidates you&apos;ve hired within a specific time period. I&apos;ll explain the different date filters and how they impact the charts. We&apos;ll explore the number of hires, average and median days to hire, and the percentage of candidates hired compared to those who entered the platform. I&apos;ll also show you graphs that depict the monthly hiring trends, completion rates, and sources of hired candidates. Additionally, we&apos;ll analyze campaigns, completion methods, assigned managers, and even gender and location data. By the end, you&apos;ll have a comprehensive understanding of the hiring analytics. So, let&apos;s get started! 🎥</description></oembed>