PolyAI
Metrics for Evaluating Call Center Voice AI Impact
Pages
15
Time to read
13 mins
Publication
Language
English
Pages
15
Time to read
13 mins
Publication
Language
English
This guide outlines essential metrics for evaluating the impact of call center voice AI. It emphasizes the importance of analyzing multiple metrics together rather than in isolation. The document details eight key metrics: call reduction rate, average speed of answer (ASA), call abandonment rate, call transfer rate, average handle time (AHT), customer satisfaction score (CSAT), net promoter score (NPS), and customer effort score (CES). Each metric is defined, and its significance in assessing the performance of voice AI in call centers is explained. For instance, the call reduction rate measures the percentage of inquiries resolved without agent escalation, while ASA reflects the average time taken to answer calls. The guide also discusses how these metrics can provide insights into customer experience and operational efficiency. By reviewing these metrics collectively, organizations can gain a comprehensive understanding of their voice assistant's effectiveness and identify areas for improvement.