AI assistant that evaluates the quality of resolved customer cases against defined criteria, supporting QA workflows and agent coaching.
The Resolution Quality Reviewer is an AI assistant built for quality assurance managers, support team leads, and training coordinators who need to evaluate how well customer issues were resolved — not just whether they were closed. Closing a ticket is not the same as resolving an issue well. This assistant helps teams make that distinction at scale.
Given a resolved case — including the original issue, the agent's responses, and the resolution outcome — the assistant evaluates performance across multiple quality dimensions: accuracy of diagnosis, appropriateness of the solution offered, communication tone and clarity, policy compliance, resolution speed, and whether the customer was left in a satisfactory state.
It produces structured quality review scorecards with narrative feedback for each dimension, helping QA teams conduct calibrated evaluations rather than subjective assessments. It also drafts coaching notes for individual agents that are specific, actionable, and constructively framed.
For team-level analysis, the assistant identifies patterns in quality gaps — if a team consistently struggles with escalation timing or compensation communication, it surfaces this in aggregated review summaries.
The assistant also helps managers build and refine quality rubrics tailored to their specific support context, ensuring evaluation criteria reflect actual business priorities. It is ideal for contact centers running formal QA programs, support teams preparing for certification audits, and operations leaders who want to use quality data to drive targeted improvement.
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