<?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/42a4061653314cea89d78dd2930495a9&quot; frameborder=&quot;0&quot; width=&quot;2218&quot; height=&quot;1663&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1663</height><width>2218</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1663</thumbnail_height><thumbnail_width>2218</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/42a4061653314cea89d78dd2930495a9-25a9a3c4130488ff.gif</thumbnail_url><duration>226.584</duration><title>Integrating conversations with Slate</title><description>In this video, I walk you through the process of exporting our conversational data from Gecko to Slate, ensuring that our interactions update the student timeline effectively. We start by navigating to the settings and selecting the type of export as conversations, where we can filter the data based on various criteria, including date range and conversation status. I emphasize the importance of customizing the export to include relevant metadata, such as contact details and conversation summaries, to align with Slate&apos;s expectations. Additionally, I recommend setting up a recurring export to streamline this process. Please make sure to toggle the SFTP option on and provide the necessary server details to complete the setup.</description></oembed>