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How To Analyze Call Center Performance: Key Metrics, Tips, and Tools

InMoment XI

Use a Conversational Intelligence Tool Some KPIs, like average handle time and first call resolution, are easy to measure with numbers alone. This includes both structured data (like call volume, average handle time, and first call resolution rates) and unstructured data from customer feedback and conversation transcripts.

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How to Measure, Evaluate, and Improve Call Center Agent Performance

Calabrio

Optimized Call Center Operational Efficiency: By tracking relevant metrics, call center managers can streamline operations, reduce average handle time (AHT), and improve first call resolution (FCR). This is critical for setting the tone of the interaction and minimizing customer wait times.

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Contact Center Automation: Reduce Agent Burnout and Boost Customer Satisfaction

InMoment XI

Chatbots and virtual assistants rely on their knowledge bases to respond to or escalate customer queries. For example, a chatbot can update its knowledge base after encountering a new query. Similarly, the insights highlight the extent to which current practices are satisfying customer needs.

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9 Contact Center Quality Assurance Best Practices: Modernize Your Approach, Optimize Your Performance

Calabrio

Additional metrics to consider include: NPS scores First response time (FRT) Abandon rates Hold times Average Handle Time (AHT) 4. Research conducted by McKinsey reveals that employees may spend up to 20% of their time searching for information about work processes.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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AI-Driven Customer Service Demands Humanized CX

TechSee

Lower Average Handling Time (AHT) Visual, when combined and voice support cut down on back-and-forth. A national smart home provider used dynamic visual guidance to reduce handling time by over to 40%, letting teams handle more queries in less time – while automatically training AI models for future Agentic AI automation.

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The Tribal Knowledge Base – Sharing the Wisdom in Customer Service

TechSee

The drop in productivity due to the loss of an employee and the steep learning curve of the new hire, coupled with the loss of knowledge and expertise of experienced staff, is a recipe for disaster. When it takes longer to find the right resolutions, a higher Average Handling Time (AHT) will follow.