Which metrics are used to evaluate the performance of chatbots and conversational AI in enterprises?
The performance of chatbots and conversational AI is assessed using several key metrics, including the rate of issues resolved without human intervention, intent recognition accuracy (NLP accuracy), average response time, customer satisfaction score (CSAT), and escalation rate to human agents. Organizations also analyze conversation quality (fluency and relevance of responses), user drop-off rates, and the impact on customer support costs. In addition, they track continuous model improvement through interaction data and effective retraining rates.