Boolean-filtered metric queries in Datadog enable users to define and redefine scopes on the fly, making it easier to track data across overlapping scopes. By combining existing tags into complex expressions using Boolean logic, users can establish relationships between tags, group operations using parentheses, and use the `IN` operator to scope queries to specific tag keys. This technique allows for more concise and meaningful way to define the scope of metrics, providing visibility into complex environments, such as evolving requirements and microservices-based architectures. With this feature, users can quickly get on-the-fly answers to any question about teams within their organization, enabling informed leadership and monitoring of infrastructure in a comprehensive, flexible, and precise manner.