<?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/db79ea8fd2c94defbbd08b2d7b05ee06&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/db79ea8fd2c94defbbd08b2d7b05ee06-f363d57a32c72962.gif</thumbnail_url><duration>300.181333</duration><title>Analyzing Amazon Fulfillment Overwork Burnout Risks</title><description>This Loom analyzes whether overworking contractors at the Extern Amazon Fulfillment Center is driving burnout and worker loss. Paul Poisutin presents a combined review dataset from YouTube and Glassdoor, cleansed of data issues, and compares sentiment proportions across factual, neutral, and negative feedback. He categorizes theme frequency by segment and job titles, then counts occurrences for burnout, scheduling issues, and training gaps, using polarity logic to score positive, negative, and neutral content. The analysis focuses on contractors experiencing long, non flexible work hours and links the findings to a business impact involving more flexible hours and reduced burnout.</description></oembed>