Example Concept: Effective multi-turn conversation handling in chatbots relies on context management, where the chatbot retains information from previous interactions to inform future responses. This can be achieved through state tracking, which involves maintaining a conversation state that updates with each user interaction, and using NLP models capable of understanding and generating contextually relevant responses. Additionally, designing conversation flows that anticipate user needs and provide clear pathways for navigation can significantly enhance the user experience.