Data-based problem solving within a multi-tiered system of support (MTSS) can help state education agencies and local education agencies (LEAs) improve graduation rates for students with disabilities. To facilitate problem solving within an MTSS, states and LEAs need efficient systems and processes for analyzing and integrating data across initiatives. Creating the infrastructure to support data-based problem solving can be a challenge. This spotlight shares how three states use different approaches to promote data use within an MTSS to improve graduation rates for students with disabilities. The spotlight concludes with recommendations for states facing similar challenges. [This report was written in collaboration with Matt Hoskins, Victor Rodriguez-Diaz, Laura Moran, Maribel Saimre, and Jeffrey Phenicle.]