There are a few different ways to think about data-driven product management, but at its heart, it’s about using data to inform your product decisions. This could mean everything from using data to track user engagement and understand what features are being used (or not used) to using data to assess the financial impact of proposed changes.
Being data-driven doesn’t mean that you rely solely on data to make decisions – it’s important to take a holistic approach that also takes into account things like user feedback and intuition. But data should be a key part of your decision-making process.
There are a few different skills that are important for data-driven product management. Firstly, you need to be able to collect data from a variety of sources, both internal (like usage data from your product) and external (like market research). Secondly, you need to be able to analyze that data to identify trends and patterns. And finally, you need to be able to communicate your findings in a way that non-data people can understand, and use those findings to inform your product decisions.
If you’re interested in becoming a data-driven product manager, there are a few resources that can help you get started:
