“Vibe analysis”: How Faire uses Cursor, enterprise search, and custom agents to analyze data

How do we start at the very beginning of analyzing a product and its quality and its usage through analyzing conversion rates?

The new AI tools have just absolutely transformed the process of just getting all that context. You can go as broad as you like, self-serve, into an unfamiliar topic just incredibly quickly, and that means you can not only deliver quicker analysis, you can just deliver much better analysis, too. I'm gonna start just by doing an enterprise AI search. So I'm just gonna start very simply by asking Notion: What experiments or new features launched between September to December twenty twenty-four that could have added friction to the checkout process for new retailers in Europe or North America? And I've just said, "Focus on XP docs, PRDs, and launch announcements." I've got, straight away, a really interesting list of hypotheses to dig into with no work. And you can see it searched across Slack, Notion, Jira, and everything else very, very quickly.

So, Alexa, how do we do actual analysis of data when we've identified a problem or an opportunity we wanna go after?

Without AI, especially the context gathering, would mean hours spent digging through all the specs and PRDs, writing SQL queries from scratch, and then, you know, spending a lot of time writing and editing a doc. Using Cursor to actually create, edit, write SQL has been pretty game-changing.

[upbeat music] Welcome back to How I AI. I'm Claire Vo, product leader and AI obsessive, here on a mission to help you build better with these new tools. Today, I have a great episode with Tim and Alexa from the data team at Faire. They're gonna show us how you can use Cursor, MCPs, ChatGPT, and even write your own agents to do data analysis. We're gonna see everything from decomposing that scary question, "What went wrong in September?" to doing detailed funnel analysis on experiments and surveys. Let's get to it. AI is supposed to make work easier, but I've been there: weeks of setup, endless back and forth with engineering, and yet another tool the team never really adopts. That's why I use Zapier's AI orchestration platform. It connects with nearly eight thousand apps, so I can finally put AI to work without the drama, without the delays, and without pulling engineering in every time I wanna automate something. With Zapier, you can roll out AI-powered workflows that do real work across your whole company in days, not weeks. I use Zapier every single day. It automatically responds to leads with enriched, personalized data, it checks my calendar weekly and offers smarter ways to manage my time, and it even drafts emails for every new request that lands in my inbox. All of that running quietly in the background, so I can focus on the work that matters. And Zapier's built for scale. With enterprise-grade security, compliance, and governance, it's trusted by teams at Dropbox, Airbnb, Opendoor, and thousands more. Go to try.zapier.com/howiai to learn more about how Zapier can bring the power of AI orchestration to your entire org. Alexa, Tim, thank you for joining How I AI.