Conversational Intelligence Terminology

Call Quality Monitoring

Call quality monitoring is the ongoing review of customer calls—live or recorded—to evaluate how well agents follow required processes and deliver the expected service experience. Reviews are usually done using a quality rubric or scorecard that covers items like verification, accuracy, compliance language, empathy, and resolution steps.

Operationally, it matters because it turns individual conversations into measurable performance signals. Consistent monitoring helps leaders find coaching needs, detect process gaps that drive repeat contacts, and reduce risk from missed disclosures or incorrect information.

When done consistently, quality monitoring also supports fair performance management by applying the same standards across agents and teams. It provides a documented trail of what was reviewed, what was scored, and what actions were taken to improve outcomes.

For an introduction to how AI transforms call quality monitoring, see AI Call Quality Monitoring Explained. For guidance on what to evaluate when choosing call quality monitoring software, see Call Quality Monitoring Software: What Experienced Teams Look For.

Example:

A QA analyst reviews 10 recorded billing calls per agent each month using a scorecard and flags missed identity verification and unclear payment explanations. The team lead uses the findings to run a short coaching session and updates the call script to reduce repeat calls.

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