Automate contact center agent QA with customizable AI rules and 100% call transcripts

Most QA processes rely on generic scorecards and random call samples. This demo shows how Clootrack uses AI to evaluate 100% of agent conversations using customizable QA rules and real call transcripts. Learn how to automate agent performance reviews, surface coaching opportunities, and scale insights without manual scoring or setup.

Frequently asked questions (FAQs)

How can I evaluate agent performance without relying on manual scoring or random call samples?

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Evaluating a small sample of calls limits visibility into true agent behavior. AI makes it possible to analyze 100% of conversations using consistent, repeatable criteria. Clootrack applies customizable QA rules to full transcripts, automating scoring and reducing bias from subjective sample reviews.

Is there a way to score agents without building workflows from scratch?

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Yes. Prebuilt AI workflows now allow teams to launch agent scoring quickly. These workflows analyze transcripts, match them to scoring rules, and generate summary reports. Clootrack includes ready-to-use flows that teams can customize, adapt, or run as-is-no prompt engineering required.

Can I create custom QA scoring rubrics for different agent roles or teams?

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Yes. AI QA tools let teams define personalized scoring logic, such as assigning more weight to empathy, compliance, or resolution quality based on role. Clootrack enables this with fully customizable evaluation criteria mapped to specific agent objectives and call types.

What types of performance issues can AI help surface in contact center agent reviews?

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AI can uncover patterns like agents escalating too early, providing unclear answers, or missing customer intent. These themes are often invisible in traditional QA. Clootrack detects these behaviors across all calls, highlighting the “why” behind customer frustration or unresolved issues.

How can I connect agent behavior with customer sentiment in real conversations?

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By combining behavioral themes with sentiment analysis, you can pinpoint where agent actions impact CSAT or escalation. AI systems track phrases, tone, and outcomes. Clootrack links agent patterns with emotional response signals, so you see what drives satisfaction or disappointment in each call.

How can I monitor QA insights across different teams, KPIs, or escalation types?

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Modern QA dashboards let you filter agent performance by team, call type, resolution status, or escalation theme. You can also break down scores by metric, like script adherence or empathy. Clootrack’s dashboard lets ops and QA leaders customize views to their structure and goals.

How can AI agents help teams explore agent-level performance insights faster?

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AI agents allow you to ask questions like, “Which agents struggled with policy explanations last month?” and get instant answers. They summarize patterns across transcripts and surface coaching themes. Clootrack’s GenAI assistant, Clootrack Genie, enables this through natural language exploration of QA insights.

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