Anthropic PMs use Claude for instant data analysis

Source: youtu.be

TL;DR

The story at a glance

Lisa Crofoot, a product manager at Anthropic, shows in this short video how her team uses Claude to query product data and build AI evaluations quickly. The company connected Claude Code to BigQuery tables, so PMs skip SQL and data science waits. It's part of Anthropic's "How we use Claude" series, posted as their tools evolve rapidly.[[1]](https://youtu.be/91AJ0cpgLlQ?is=TQceVqxIYP2Olepq)[[2]](https://www.youtube.com/watch?v=91AJ0cpgLlQ)

Key points

Details and context

Claude acts as a human-friendly interface: PMs describe what they want in plain language, and it handles the SQL and visualization behind the scenes. In the demo, Crofoot generated synthetic data on light vs. dark mode first, then explored fractions over time—tasks that would take hours manually.

For evals, which test AI systems, Claude "expands the option space" of test cases from one or two to dozens, making product validation faster.

This fits Anthropic's push to use their own AI internally, as shown in their news post on PM workflows.[[1]](https://youtu.be/91AJ0cpgLlQ?is=TQceVqxIYP2Olepq)

Key quotes

Why it matters

AI tools like Claude are changing how teams handle data and testing, cutting out specialist bottlenecks in fast-moving tech firms. For product managers, this means quicker insights and experiments, less waiting, and more focus on high-level work. Watch for more in Anthropic's internal-use series or similar tools from rivals like OpenAI.