Resources and Toolkits
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
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…
Metrics That Matter For States Under H.R. 1
Guide on how state agencies can develop legible and flexible metrics to assess implementation of new work requirements, outlining how to build, capture, and effectively utilize metrics to monitor impact for operational awareness and decisionmaking.
Advocates’ Guide to Automated Notices
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,…
A Technical Guide for States to Reduce Procedural Terminations from Medicaid’s Work Requirements
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
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.
