Resources and Toolkits

These resources include materials related to SNAP QC, error reduction, and payment accuracy, including 101 explainers

Video outlining best practices for states to improve their risk assessment and error detection processes, including model design, review sequencing, feature engineering, review process optimization, and quick wins

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

Summary of cost to states based on SNAP 2025 error rates

Common policy missteps states may take in efforts to reduce SNAP payment error rates (PERs), such as adopting change reporting, imposing asset tests, or limiting discretionary exemptions, can have unintended effects of increasing error rates. Instead, states should make informed policy choices, such as adopting simplified reporting, waiving asset tests, allowing discretionary exemptions, and implementing…

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.

Workshop examining how predictive analytics and risk scoring can improve SNAP implementation and evaluation, using Conneticut as a case study.

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.

Tracker displaying most recent federal and state agency data on SNAP participation, along with unemployment trends.

Guidance on state policy chocies that tend to increase SNAP payment error rates include requiring change reporting or monthly reporting, imposing asset tests, and limiting discretionary exemptions. In contrast, states can reduce errors by simplifying reporting requirements, using BBCE, applying exemptions, and using one-month lookbacks to minimize reassessments and ensure coverage for eligible populations.

Resource explaining how SNAP’s BBCE helps working families qualify for food assistance by easing income and asset limits. It also outlines the potential negative impacts, such as increased food insecurity, if BBCE were eliminated.

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

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

Features interviews from seven states on adaptation journeys in response to SNAP and Medicaid on integrated eligibility and enrollment. Insights include states awaiting federal guidance, standing up work groups, putting technology road map placeholders, prioritizing SNAP PER, making changes to end-of-life systems, rethinking data sharing, and considering population impacts.

A central resource library for state, local, tribal, and territorial governments working to implement public benefits policy and system changes created through OBBBA, featuring Medicaid work requirements and SNAP PER topic sections.

Various templates for state and local governments to meet OBBBA requirements, including primers for program staff and state leadership, targeted flyers for populations (e.g. veterans, unhoused, older adults), and work requirements checklists.