<?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/89bd7cde57df4ba5acb76eaf4c07142e&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/89bd7cde57df4ba5acb76eaf4c07142e-ceffd2c17dc5f862.gif</thumbnail_url><duration>82.233</duration><title>Outlier Analysis</title><description>In this Loom, I shift focus to the individual level and help you understand who are the employees paid less than or more than their comparable group. In our case management module, you can see both ends of the spectrum, so we can explain not only low outliers but also high payers who may pull up averages. I want us to identify whether there is a systematic pattern and whether any reason is documented, without justifying every single case. We should also note whenever we made a conscious decision to pay someone much more or much less. No specific action is requested beyond reviewing and understanding these findings.</description></oembed>