User feedback signals—thumbs reactions, edits, retries, and conversation patterns—provide a scalable way to evaluate agent quality in production without manual annotation. Unlike explicit ratings, behavioral and outcome signals capture implicit judgments from normal user workflows, offering cheap insight into perceived quality while surfacing unexpected user behaviors.