Contact center analytics and the KPIs that drive performance | Decagon

This post details the integration of contact center analytics into the AI Support Agent Platform. It outlines the four-stage analytics loop (Capture, Transcribe and Contextualize, Analyze, Activate) and key aspects like data collection, AI-powered analysis (sentiment, topic classification, keyword extraction, pattern recognition), and insight generation. It also describes common analytics types (speech, text, interaction, predictive, quality management) and their benefits, focusing on improving customer experience, supporting human agent performance, enhancing operational efficiency, and driving strategic decisions. Key metrics like AHT, FCR, CSAT, NPS, and call volume/hold times are discussed in the context of actionable insights. The post emphasizes the platform's ability to connect these analytics to Agent Operating Procedures for direct impact on agent behavior.