Building a successful mobile app involves understanding user needs through both qualitative and quantitative data collection. Quantitative data, characterized by its numerical nature, offers clear, objective insights that are easy to visualize and interpret but may lack context. In contrast, qualitative data provides the subjective, descriptive details that illuminate the reasons behind user behaviors, often revealing trends through recurring comments or singular impactful feedback. Combining these data types enables more informed decision-making, as demonstrated by a case where qualitative insights helped improve feature adoption rates. Various methods, such as in-app feedback, focus groups, case studies, and expert opinions, are employed to gather qualitative data, each offering a unique perspective into user experience and interaction with the app. Understanding the balance and integration of both data types is crucial for creating a product that is not only functional but also resonates with users.