How Anthropic uses Claude in Product Management

What excites me about being a product manager now um is that I can move and iterate much faster. I can use Claude to test my product ideas before I even get

anyone else in the loop. I can operate much more independently, which is extremely empowering.

Getting data as a product manager is like a pain point. Usually you have to ping a data science person to help you.

Um or often product managers can write some kind of basic SQL themselves and will have to query a database that they don't know that much about. I started

using cloud code pretty quickly figured out that we could use it for data analysis workflows. Our data science

analysis workflows. Our data science team set up a BigQuery MCP which essentially connected all of our BigQuery product data tables to claude code. You don't need to know how to

code. You don't need to know how to write SQL. You just need to be a human

write SQL. You just need to be a human interpreter of that data and that result. So here I am in cloud code and I

result. So here I am in cloud code and I want to show how you can use claude to access product data. Before I started this demo, I used cloud to generate some

synthetic product data that shows um light mode versus dark mode usage on a product. I've said I want to explore the

product. I've said I want to explore the fraction of dark mode usage over the past 3 months. I'm going to tell it the data table to look for. So it just popped open this graph. This is like pretty impressive. It's done a whole

pretty impressive. It's done a whole bunch of stuff I didn't ask for, like add a 7-day rolling average, add the overall average. The graph is nicer than

overall average. The graph is nicer than what I would have put together if I had done this myself. Say I want to iterate on this a little bit and take a look.

Maybe we want to look at light mode and dark mode usage by plan type. Can you

actually plot it by plan type? It's

asking me for permission to make edits.

Sure. And now we have a plot of the data by plan type. If I had to do this on my own, it would take me possibly hours um if not more. Another way that my team

uses Claude is to help with generating evals. Evals are a way that we uh

evals. Evals are a way that we uh evaluate AI systems and AI products.

Claude is really great at this actually.

So, you can kind of just give Claude the situation and the and the product experience that you're trying to build, maybe a couple example test cases, and ask it to expand the option space of

test cases. So really quickly you go

test cases. So really quickly you go from one or two examples to test to like 50 examples to test. So my hope is that with Claude product managers are able to spend more of their time on product

strategy, customer conversations and decision-m and less time on coordination and operations. I would say it's like

and operations. I would say it's like more than automation for me. Like it's

things that I wouldn't have otherwise necessarily even been capable of doing independently. So, it's actually like

independently. So, it's actually like extending what I can accomplish on my own.