To understand the current state of the problem, you need big "D" and little "d" data. “Hard” or quantitative data is a powerful tool in the discovery phase of human-centered design. It helps reduce bias, identify trends, and measure the scale of a problem—providing an objective foundation before diving into qualitative insights. Collecting data early ensures a jumpstart on analysis and stakeholder buy-in, as it sparks curiosity and collaboration across teams. Used well, it guides exploration, surfaces unseen dynamics, and sets benchmarks for future impact.