Metabase

Ad hoc data requests usually start the same way: a Slack message, an urgent question, and very little time to answer it properly.

In this workshop, [Stephen Tracy,](https://www.linkedin.com/in/tracystephen/) analytics educator and creator of [Analytics Udemy courses](https://www.udemy.com/user/stephentracy/), will show how to use AI in Metabase to go from question to answer quickly - without relying on manual SQL or a long analysis process.

**You’ll learn:**

*   How to use [Metabot](https://www.metabase.com/features/metabot-ai) (Metabase’s AI assistant) to answer ad hoc product and business questions faster
*   How to go from a Slack message to a first answer using Metabot
*   How to explore, refine, and validate AI-generated analysis in Metabase
*   How to turn quick analysis into a clear, shareable deliverable with [Metabase Documents](https://www.metabase.com/docs/latest/documents/introduction)
*   Why [Metabase’s semantic layer](https://www.metabase.com/product/data-studio/) makes AI-powered analysis more reliable

This session is for product managers, product analysts, and data analysts who regularly deal with ad hoc questions and want a faster, more reliable way to answer them.

You’ll leave with a practical workflow you can apply right away.
