Learn to Navigate the Shift From Clicks to Conversations

How product managers working in conversational AI have to expand their toolset to include LLM user analytics to be able to understand what’s working and what isn’t in their products lies, enabling them to make data-driven adjustments that balance value creation and risk management effectively.

How to create AI experiences that are both safe and valuable by striking a balance between risk-focused and value-focused LLM evaluations and monitoring.

How traditional sentiment analysis falls short in the era of conversational AI, highlighting the need for real-time sentiment tracking and deeper emotional insights to optimise LLM-driven conversational user experiences.

How the evolution of web analytics provides a roadmap for understanding the importance of investing in LLM user analytics to optimise conversational AI experiences. Discover the key lessons that can help businesses unlock the power of LLM user analytics.