Call Monitoring
Call monitoring is the practice of listening to live or recorded customer calls to evaluate agent performance, ensure quality standards, and identify coaching opportunities.
In Depth
Call monitoring is a cornerstone of quality assurance in contact centers. Supervisors traditionally listen to a small sample of calls (typically 2-5% of total volume) to assess agent communication skills, policy adherence, resolution effectiveness, and customer handling. This sampling approach means most interactions go unreviewed.
AI transforms call monitoring by analyzing 100% of calls automatically through speech analytics, sentiment detection, and compliance checking. AI-powered monitoring can flag calls where agents deviated from scripts, detect customer dissatisfaction in real time, identify upsell or cross-sell opportunities that agents missed, and score every interaction against quality criteria. This shifts quality management from reactive sampling to proactive, comprehensive oversight.
Supervisors spend less time listening to random calls and more time coaching agents on specific, AI-identified improvement areas.
Related Terms
Quality Assurance (QA)
QA in customer support is the systematic process of monitoring, evaluating, and improving the quality of agent interactions to ensure they meet established standards for accuracy, tone, and resolution effectiveness.
Speech Analytics
Speech analytics uses AI and NLP to automatically analyze recorded or real-time voice conversations, extracting insights about customer sentiment, agent performance, compliance, and trending topics.
Whisper Coaching
Whisper coaching is a real-time guidance technique where a supervisor or AI system provides suggestions to an agent during a live customer interaction without the customer hearing.
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