<?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/0398fe1fd674482e94969898840712ad&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/0398fe1fd674482e94969898840712ad-3aeaef7b95804f7f.gif</thumbnail_url><duration>283.5404</duration><title>Creating a Data-Driven Experimentation Strategy</title><description>In this video, I share my best-viewed Miroboard template focused on creating a data-driven experimentation strategy. I emphasize the importance of gathering insights from multiple sources, like heatmaps and usability interviews, to identify overlapping issues that can inform our strategy. My goal for the next six months is to develop a comprehensive approach based on these insights, and I encourage you to utilize the free Miro template available in the Miroverse. Please take the time to explore these insights and think about how they can shape our upcoming projects. Let&apos;s work together to enhance our understanding and improve our outcomes.</description></oembed>