Mobile teams should prioritize crashes based on user impact metrics like frustration-free session rate and affected user count, rather than alert volume. The article argues that a crash affecting fewer users at critical points like checkout carries more business consequence than a frequently-occurring crash in rarely-used features, and demonstrates how impact-based prioritization integrated into observability workflows improves engineering efficiency.