Call Analytics

Call analytics encompasses both quantitative metrics (call volume, handle time, wait time, resolution rate) and qualitative analysis (conversation content, sentiment, topics, outcomes). Basic call analytics track operational KPIs through CDR (Call Detail Records) data, while advanced analytics apply AI to the actual conversation content. AI-powered call analytics can automatically categorize calls by topic, identify the root causes of repeat contacts, detect customer sentiment and emotion, measure agent adherence to scripts and procedures, and predict call outcomes based on early conversation signals.

This intelligence drives improvements across the contact center: routing optimization (directing similar calls to agents who handle them best), training prioritization (focusing on skills gaps revealed by analytics), and process improvement (fixing the issues that generate the most calls).