Hinge, a popular dating app, uniquely navigates the complexities of user churn and engagement metrics, illustrating the importance of contextual data interpretation. Unlike many companies, Hinge views churn as a positive indicator when users leave the app due to successfully finding relationships, showcasing "good churn" as an asset that fuels word-of-mouth marketing and long-term growth. Devin Markell, Hinge’s data lead, emphasizes the necessity of understanding both qualitative and quantitative data to accurately interpret user behavior and optimize product strategy. Hinge's approach focuses on facilitating meaningful connections rather than merely increasing user engagement, demonstrating that the true measure of success is not in high activity but in users achieving their personal goals. By designing user experiences that naturally guide users towards successful outcomes, Hinge exemplifies how products can create loyal user bases even if they do not rely on constant usage. This nuanced understanding of metrics like churn and retention helps Hinge stay aligned with its mission of fostering real-life connections, ultimately highlighting the importance of context in data-driven product development.