<?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/9cf87627e92043fb9dc0f1d001ee83fe&quot; frameborder=&quot;0&quot; width=&quot;1890&quot; height=&quot;1417&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1417</height><width>1890</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1417</thumbnail_height><thumbnail_width>1890</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/9cf87627e92043fb9dc0f1d001ee83fe-0b5bfd1acdb685b4.gif</thumbnail_url><duration>172.604</duration><title>Interpreting Heatmaps in Reputation Data Sets </title><description>In this video, I walk you through how to interpret the hit maps in our reputation data sets. The hit map report, located in the analytics section, visually represents performance, with lighter yellow indicating higher performance and darker brown showing lower performance. You can customize your view using three drop-downs to see different values, such as the number of nominations or percentages. Please remember that the data displayed is an aggregate for all members of the selected benchmark, not just the focus institution. If you have any questions, feel free to click on the orange QS logo at the bottom right of the screen for assistance.</description></oembed>