<?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/084a0b80d27b4de79bb55e64da7f0224&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/084a0b80d27b4de79bb55e64da7f0224-51addfe38f95eea5.gif</thumbnail_url><duration>85.167</duration><title>Lauren Creedon - Why the 1-5-50 model works</title><description>In this video, I discuss the critical stages of product development, focusing on the importance of testing feasibility and usability with our initial group of customers. I emphasize that the minimum set of features needed for adoption is often much smaller than anticipated, and during our closed beta phase, we need to identify market viability and any support gaps. I advocate for transparency in AI development to ensure our solutions are practical and effective for our teams. It&apos;s crucial to build at high velocity to capture revenue cycles, especially during budgeting or usage seasons. I encourage everyone to stay agile and responsive as we integrate AI into our software development life cycle.</description></oembed>