Task Performance → Behavioral Analytics Dashboard

Set up a branded Loom workspace where participants can easily record themselves completing specific tasks like using an app, cooking, or organizing spaces.

Create an automation that triggers when new Loom videos are uploaded, extracting video metadata, duration, and participant information.

Send video frames to GPT-4 Vision to identify key actions, detect frustration points, count steps, and classify completion success. Generate structured behavioral data.

Compile AI analysis results into a structured dataset with columns for task type, completion time, error count, user demographics, and success indicators.

Build interactive dashboards showing task completion patterns, common failure points, time distributions, and demographic correlations for stakeholder review.

Set up automated alerts to notify UX researchers when unusual patterns emerge, like high failure rates on specific tasks or demographic-based performance differences.