Product managers use data to guide their choices about what to build, improve, or remove. They look at both numbers (quantitative data) and user feedback (qualitative data) to make better decisions. This approach helps avoid personal bias and gut feelings that can lead products in the wrong direction. User behavior data shows patterns that might not be clear from just talking to customers. For example, tracking how people use an app reveals which features they actually use versus what they claim to value. Things like how often people engage, how many convert to paying customers, and how long they stay all give important clues about how well a product is working.

But numbers only tell part of the story. Good product managers also take part in user interviews, analyze feedback, and watch how people use the product. They ask "why" behind the numbers to truly understand what users want and where they struggle. Using both types of information creates a more complete picture. This data focus extends to measuring results. Product managers set clear success metrics before launching new features, then check if their changes actually achieved the intended goals. When results don't match expectations, they dig into why and make adjustments.^[1]