Feedback and Evaluation

Course overview

Implement feedback and evaluation systems for AI products: design user feedback loops, human-in-the-loop review workflows, experiment design and product analytics, and define quality thresholds for launch.

Describes how to design feedback loops tailored to AI products to capture usage signals, errors and user preferences.

Outlines structuring human-in-the-loop workflows for review, moderation and continuous improvement of AI outputs.

Presents experiment design and product analytics principles to measure impact and validate product hypotheses.

Explains setting pragmatic quality thresholds before deployment to limit risks and regressions.