<?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/69015985c5a3477cb4e5300018979020&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/69015985c5a3477cb4e5300018979020-9d5077cdd3d353d0.gif</thumbnail_url><duration>72.466667</duration><title>Tracking Network Error Trends in Support 📈</title><description>I noticed a trend in our customer support tickets about a specific network error, and I wanted to quantify its impact. Once I found the exact session replay and clicked the metric icon, I could see how many times the error occurred, how many users it affected, and its frequency over the past 30 days. I then drilled into the trend chart and used more details to confirm recurrences. I renamed the metric, saved it to the user friction space, and featured it so others can spot any ongoing patterns fast. No viewer action was requested.</description></oembed>