Resources and Toolkits
SNAP Change Report Templates
Tool to help states reduce SNAP errors through improved client forms to report changes, including modifiable template forms for SNAP Periodic Report and SNAP Change Report
SNAP Work Requirements Implementation Resources
Materials related to SNAP work rules and ABAWD requirements, including summary of changes, resources on process and implementation, model notices, and population-specific flyers
SNAP Payment Accuracy Resources
These resources include materials related to SNAP QC, error reduction, and payment accuracy, including 101 explainers
Risk Assessment Tools
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
State Strategies to Improve SNAP Payment Accuracy: Early Lessons from the First Year of H.R. 1 Implementation
Multi-state survey summary of state agency work to implement new payment error requirements, prepare for upcoming cost sharing provisions, and strengthen payment accuracy efforts
Fraud Prevention & Response Efforts in SNAP
Article to understand SNAP fraud and program integrity risks, protect SNAP program integrity, and address potential fraud
What to know about the SNAP Payment Error Rate
Explainer on SNAP Payment Error Rate (PER), with 10 Things to Know about SNAP and overview of what PER does and does not measure
Designing Benefits Notices
Best practices for benefit notices, with a focus across on reducing errors, improving comprehension, and making notices more accessible for SNAP and child care
Predictive Analytics for SNAP PER Reduction QC Data Workshop Summary
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.
Data and Analytic Approaches for Medical Frailty Exemptions
Resource outlining data and analytic approaches to support states through the technology implementation and integration process for Medicaid work requirements, with a focus on medical frailty exemptions.
Eligibility Made Easy (Emmy)
A CMS-developed suite of open-source tools that streamlines income and community engagement reporting for Medicaid applicants and enrollees
Work Requirement Crosswalk
Chart summary of OBBBA provisions on work and community engagement requirements across SNAP, Medicaid, and TANF, with FAQs from state administrators and advocates to support implementation.
Promising Practices in SNAP PER Reduction: A State Case Study
By Sarah Esty (Aspen Institute Financial Security Program) Phase 1: Preauthorization with simple rules, targeted reviews One state has been able to achieve a PER close to 6% through use of a preauthorization review (before cases are finalized) for all new applications, reinstatements, or cases adding a person. They have historically picked cases to review…
Promising Practices in SNAP PER Reduction: Data-Driven Preauthorization Reviews
By Sarah Esty (Aspen Institute Financial Security Program) and Eric Giannella (Georgetown University Better Government Lab) To assist states working to rapidly reduce SNAP payment error rates to avoid new cost-share requirements, the Safety Net Response Network has been convening monthly meetings of state data practitioners for peer learning around successful error reduction strategies. Through…
Adaptable Resources for States and Locals
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.
Integration Guide for Implementing System Changes
Is This Working? Data-Driven Strategies to Reduce SNAP Payment Error Rates
States can act to reduce their SNAP PERs but must move quickly for their efforts to impact their share of program costs in 2027.
