Distributed data management systems expose correctness guarantees along two distinct dimensions: consistency, which governs how operations on replicated data appear across nodes, and isolation, which governs how concurrently executing transactions interact. Despite their complementary roles, these dimensions are rarely studied jointly. We envision a unified framework for tunable correctness guarantees that exposes consistency and isolation as two complementary dimensions of system behavior.