AI chatbots in data-driven platforms are evaluated using a multifaceted set of metrics to ensure optimal performance and user experience. Key performance indicators include Intent Recognition Accuracy and Answer Relevance, which measure how precisely the bot understands user queries and provides correct information. Efficiency is often assessed through the Resolution Rate and First Contact Resolution (FCR), indicating the bot's ability to resolve issues without human intervention. Additionally, Escalation Rate tracks instances where human agents are required, while Average Handling Time (AHT) reflects interaction duration. User satisfaction is quantified using metrics like Customer Satisfaction Score (CSAT) and Net Promoter Score (NPS) derived from post-interaction surveys. Finally, Fallback Rate and Error Rate highlight areas for improvement, collectively guiding continuous optimization of the chatbot's capabilities within the platform. More details: https://synergystore.ru/bitrix/redirect.php?goto=https://4mama.com.ua