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There are generally three types of data and tools that the new product manager will need to achieve competence on. There is typically one tool that contains the data about how users interact with your product—user analytics. Another tool typically contains data about the sales cycle for your product—sales analytics. And a third typically shows how this data is changing over time—data warehouse analytics.

Realize that achieving competence for each of these tools means two things. First, that you know how to answer questions with that tool—you're learning how to operate it. Second, you need to understand what the data in the tool is trying to tell you.

Your go‐to resource for coming up to speed on the data (tool operation and data semantics) is usually one of the company's data analysts. This is another key relationship for the new product manager to establish. But to be clear, unless you have a full‐time data analyst or data scientists embedded in your product team, they are not there for you to delegate work to them. They are there to educate and empower you to answer questions with data.

This topic is intertwined with the topic below about understanding your business. Every product has a set of key performance indicators (KPIs) that collectively describe your product's health, and while data tools will help you understand where you're at, your business will dictate which KPIs are most important for you to focus on.