Resources and Toolkits

Resource to explore and compare state-by-state data on eligibility processing, payment accuracy, and policy options

Conversation sharing drivers and targeted interventions to reduce SNAP Payment Error Rates, drawing on six months of hands-on research with Arizona, North Carolina, and Maryland

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.

Living spreadsheet that tracks major E&E and MMIS vendors by state.

An analysis projecting Medicaid expansion disenrollments on the national, state, and subgroup level beginning in 2027, estimating between 4.9 million and 10.1 million adults could lose coverage by 2028 due to administrative barriers and reporting requirements.

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.

A free resource that focuses on strategies that states can test immediately to reduce PER and lessen the burden on frontline eligibility workers

Guide explaining automatic benefit notice generation process while walking through common underlying system errors (e.g. missing or incorrect information) providing insight on how back-end design decisions cause these issues. Provides strategies to improve notice process and output such as targeted questions on system logic, workarounds for caseworkers, and structural reform through data flow, boilerplate language,…

Guide to provide states with policy and technical strategies to reduce procedural terminations under Medicaid work requirements, including simplifying verification processes, mitigating automation risks, managing vendor

States can act to reduce their SNAP PERs but must move quickly for their efforts to impact their share of program costs in 2027.