<?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/e397ba1d94b34609b7f2db41d22f3763&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/e397ba1d94b34609b7f2db41d22f3763-c070712e9d7072c2.gif</thumbnail_url><duration>360.966667</duration><title>Introducing STORY</title><description>n this Loom, we walk through how STORY, Pulsar’s autonomous research agent, helps teams make sense of social and audience data, and turn it into insight they can act on.

Think of STORY as a senior analyst who never clocks off. It works directly with your live Pulsar data, applying up to nine analytical frameworks and looking at volume, engagement and velocity. It can zoom in or out, model virality, forecast what’s next, run scenarios and flag where the data might be thin.

Getting started is simple. Create a new story using the exact name of your Pulsar search (you can also add the search ID from the URL), then give it a timeframe, like “last week” or “since our Q3 launch.” The best results come from asking “why” questions and following up on what you find.

Every answer follows the same shape: a clear verdict, the evidence behind it, the hypotheses it tested, anything worth a closer look, what it means strategically, and caveats where the data is limited.</description></oembed>