<?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/c5b0663c7c0246aeadaff57609caa640&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/c5b0663c7c0246aeadaff57609caa640-76519aa748971612.gif</thumbnail_url><duration>903.315</duration><title>GoodTime Bottleneck Detection</title><description>In this video, I discuss capacity planning and calendar visibility within GoodTime, focusing on how to leverage insights for effective interview scheduling. I highlight the ability to view team members&apos; weekly load limits, open calendar slots, and filter by specific tags, such as engineering, to identify overloaded or underutilized interviewers. For instance, I point out that while Patrick has a 63% open calendar space, he is handling 25 interviews per week, which raises concerns about workload balance. I also emphasize the importance of assessing interview templates and their capacity to meet upcoming hiring needs, suggesting that we may need to add more interviewers or adjust interview durations. I encourage everyone to utilize these insights to proactively address potential issues and ensure our hiring processes are well-supported.</description></oembed>