<?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/6ba0672fa12141c9bec4b33d3884296d&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/6ba0672fa12141c9bec4b33d3884296d-d49f236867295b03.gif</thumbnail_url><duration>95.742</duration><title>Real-Time Guest Feedback Sentiment Automation Workflow</title><description>In this Loom, I show my automated feedback analysis workflow to analyze guest feedback in real time using AI, detect sentiment, generate summaries, and alert staff to negative responses. I use Google Forms for data collection, Google Gemini for structured JSON output, Make for automation, a JSON module, Google Sheets, and Gmail. Gemini returns sentiment categories and a short summary, and Sheets updates the correct row by timestamp. If sentiment is negative, Gmail sends an immediate alert. I also address Gemini availability with paid plans, alternative models, and fallbacks.</description></oembed>