Resources and Toolkits

Paper exploring how uncapped benefit calculations in payment error predictive models can help create space for more “buffer” and create inclusion or exclusion criteria for better targeted reviews and greater predictive power.

An interactive cross-state analysis tool demonstrating how removing the $58 SNAP QC tolerance threshold could increase payment error rates and related state costs.

An interactive dashboard that enables users to explore and monitor key metrics of the Supplemental Nutrition Assistance Program (SNAP) Quality Control (QC) system.

An interactive dashboard that enables users to explore and monitor key metrics of the Supplemental Nutrition Assistance Program (SNAP) Quality Control (QC) system.

Resource Hub including data visualization tools, modeling tips, and lessons gathered from States to support the work of QC data modeling nationwide.

Workshop to foster collaboration and share modeling practices among state agencies in response to HR1’s new SNAP PER cost share requirements. Gathering encompassed convened a group of nearly 40 research and data analytics staff from across 15 states involved in SNAP QC data modeling.

Centralized hub for OBBBA Medicaid-related information for state implementation support. Features topics outlining communications and outreach, marketplace provisions, work requirements reporting, non-citizen eligibility changes, reporting and evaluation, rural health transformation, and state-specific impact estimates.

Key questions for states to consider in human-centered vendor acquisition, focused on collaborative co-design and continuous feedback from enrollees and caseworkers during systems testing and development, proactive bias mitigation, accessibility, and strong data protection and interoperability standards.