“Vibe analysis”: How Faire’s data team uses AI to investigate conversion drops, analyze experiment results, and convert raw data into executive-ready insights

In this episode of "How I AI," Claire Vo interviews Tim Trueman and Alexa Cerf from Thayer's data team about leveraging AI for product analysis and conversion rate optimization. They demonstrate how tools like Cursor, MCPs, and ChatGPT can streamline context gathering, SQL query generation, and experiment analysis. Tim showcases using AI to investigate a sudden drop in new customer conversions by querying codebases and GitHub history, while Alexa explains how Cursor aids in analyzing product feature performance, creating dashboards, and generating executive summaries. The discussion emphasizes the importance of semantic layers, over-commented code, and the democratization of data analysis, highlighting AI's role in enhancing efficiency and strategic decision-making. They also touch on automating experiment result write-ups and improving survey design and analysis using AI.