<?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/1d4e22de5ebc4a28b6845360b4278f19&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/1d4e22de5ebc4a28b6845360b4278f19-a2544a2a0fbe53ed.gif</thumbnail_url><duration>430.066656</duration><title>Gainsight Relationship Resolution Setup Guide</title><description>This Loom explains how relationship resolution in Gainsight automatically logs emails and meetings to the correct relationship in the Gainsight timeline. It describes an architecture where Gainsight CS remains the source of truth, using deterministic matching with contact and user data plus AI-driven product tagging from communication content to map engagements precisely. Configuration depends on whether you use Staircase AI with Gainsight or Gainsight CS standalone, with the highest accuracy when set up specifically for product relationships. Before enabling, it recommends ensuring relationship persons are added, defining product identifier fields on the relationship object, and optionally mapping unique user columns, then updating the organization profile product details before turning on communication tagging. The resolution combines deterministic and AI results with four cases, ranks primary versus secondary relationships when multiple match, and uses the first email in a thread to set the primary relationship.</description></oembed>