Agent Performance Reviews
Built From Actual Call Data.
Annual reviews, quarterly check-ins, and PIP documentation all require the same thing: an accurate, defensible record of how an agent actually performed. AI Performance Review generates that record automatically — from the calls they handled, the scores those calls received, and the coaching they were given — in minutes, not hours.
Score Trend Summary
Average scores across all rubric types for the review period — with week-over-week trend direction. Shows whether performance improved, declined, or held steady.
Strengths & Development Areas
AI-generated narrative summary of consistent strengths observed across the agent's calls and the improvement areas that appeared most frequently in coaching entries.
Coaching History
A chronological record of coaching delivered during the period — including which calls triggered coaching, what the guidance covered, and whether the agent acknowledged each entry.
Peer Comparison Context
How the agent's scores compare to the team average for the same period — giving reviewers context for whether performance is above, at, or below peer level.
Structured Format for HR
The output is formatted for use in a formal review — with clear sections, professional language, and factual grounding in scored call data rather than subjective recall.
Downloadable Document
Export the completed review as a downloadable document. Keep a copy in your HR records or share it directly with the agent ahead of the review conversation.
Why "From Actual Call Data" Matters
Traditional agent reviews depend on a manager's memory of a handful of observed calls, a small QA sample, and subjective impressions formed over a long review period. That process produces reviews that feel arbitrary to agents and are difficult to defend if challenged.
AI Performance Review grounds every claim in scored data. Strengths are backed by calls where the agent consistently met specific rubric criteria. Development areas are backed by coaching entries tied to real interactions. Peer comparison uses actual scores, not manager gut feel. The result is a review that is fair, specific, and documentable.
Who Benefits from AI Performance Review
For the Customer
You end up talking to agents whose reviews are grounded in how they actually performed on real calls — not a manager's general impression — so the coaching and standards behind your interactions are consistent.
For the Agent
Your review is built from your actual scored calls and coaching history, not a manager's recollection of a handful of moments — so strengths and gaps are specific and defensible, not vague.
For the Business
Structured, HR-ready review documents are generated in minutes from real call data instead of hours of manual write-ups, with every claim traceable back to a scored call.
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What AI Performance Review Looks Like
Reviews That Take Minutes, Not Hours
Select an agent, pick a date range, and generate. Book a demo and we'll show you what a review looks like on a real agent profile.
Request a DemoAvailable to managers and admins on all plans.