“Vibe Analysis”: How Faire’s Data Team Uses AI to Investigate Conversion Drops, Analyze Experiment Results, and Convert Raw Data Into Executive-Ready Insights

Summary

In this episode, Faire’s data team members Tim Trueman and Alexa Cerf demonstrate how they use AI‑powered tools—such as Cursor, ChatGPT Deep Research, and Model Context Protocols—to quickly diagnose conversion drops, evaluate experiment outcomes, and turn raw data into polished, executive‑ready reports. They walk through a live investigation of a metric dip, show how a semantic layer and AI‑driven code analysis streamline insight generation, and illustrate automated reporting via integrations with Mode and Notion. The discussion emphasizes making AI accessible to all team members, not just engineers, and highlights practical workflows for survey design, dashboard creation, and custom agent automation.