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AI Product Analytics in Production
Explore how to capture and tag AI interaction events, analyze user prompts and sentiment, and derive business‑impact insights from an AI‑copilot fintech demo.
Product analytics helps to understand how users interact with your product. Until now, user behaviour has been understood through clicks and page views. Now with the introduction of AI in the user experience, users are interacting with natural language during their session. The product itself is also now evolving according to the user input, making it important to also collect any AI events for analysis.
The demo will centre around a use case that we carried out with a fintech trading platform. We will first show the application that has integrated our tool, that uses an AI copilot to help build trading strategies. Then we will show the live events coming into our platform, and how they are tagged within our ingestion pipeline with various topics and sentiment. Lastly we will focus on the insights that were built based on analysing user prompts, and how to extract user & AI sessions that are particularly impactful for their product.
Trubrics uses Python/JS SDKs to track user-AI interaction events.