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Chat Insights: Measuring Response Time Between Conversation Turns with PostHog-LLM | Funnel Analysis

I demonstrate how to calculate the average time it takes for users to transition from the first to the second turn in a conversation. I also explore the distribution of these response times to get deeper insights from user behavior.

Project: https://minuva.com/PostHog-LLM
GitHub Page: https://github.com/postlang/posthog-llm
Dataset: https://huggingface.co/datasets/allenai/WildChat-1M
Discord: https://discord.com/invite/uNurWjDkke
Relevant videos: https://www.youtube.com/watch?v=fGa_1G6Z-AY and https://www.youtube.com/watch?v=3RI5ivgiAUE

#llm #analytics #monitoring #mistral #conversationalai #datainsights #llmops #trends #timeseriesanalysis #insights #conversationalai #selfhosted #userinsights #funnel #Chatbot

chatbot analytics llm analysis llm monitoring llm observability Conversational Analytics user analytics llm domain conversations

Видео Chat Insights: Measuring Response Time Between Conversation Turns with PostHog-LLM | Funnel Analysis канала Andre Moura
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