<?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/4f7cbd5a216243f2bf374ef7b9185be1&quot; frameborder=&quot;0&quot; width=&quot;1470&quot; height=&quot;1102&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1102</height><width>1470</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1102</thumbnail_height><thumbnail_width>1470</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/4f7cbd5a216243f2bf374ef7b9185be1-1715278491496.gif</thumbnail_url><duration>2368.567</duration><title>Identifying the leaky bucket in product with data</title><description>In this Loom, I discuss the importance of data and product analysis in identifying potential leaks in a product that can lead to increased churn rate. I walk through the retention chart and explain how it can be used to analyze user retention over different time periods. I also highlight the significance of tracking engagement metrics and onboarding processes. No specific action is requested from the viewers, but the information shared will help them gain insights into product growth and user retention.</description></oembed>