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
SNAP Data by State
Resource to explore and compare state-by-state data on eligibility processing, payment accuracy, and policy options
Reducing SNAP payment errors: what states can do now
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
Unlocking the Potential of Payment Error Buffers Through Uncapped Benefit Analysis
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.
SNAP PER Analytics Workgroup
Workshop examining how predictive analytics and risk scoring can improve SNAP implementation and evaluation, using Conneticut as a case study.
SNAP PER Cost Share Projection: Impact of Removing the QC Tolerance Threshold
An interactive cross-state analysis tool demonstrating how removing the $58 SNAP QC tolerance threshold could increase payment error rates and related state costs.
SNAP Quality Control Error Viewer
An interactive dashboard that enables users to explore and monitor key metrics of the Supplemental Nutrition Assistance Program (SNAP) Quality Control (QC) system.
SNAP QC Error Viewer
An interactive dashboard that enables users to explore and monitor key metrics of the Supplemental Nutrition Assistance Program (SNAP) Quality Control (QC) system.
SNAP Quality Control Resources for States
Resource Hub including data visualization tools, modeling tips, and lessons gathered from States to support the work of QC data modeling nationwide.
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.
SNAP Payment Accuracy Playbook
A free resource that focuses on strategies that states can test immediately to reduce PER and lessen the burden on frontline eligibility workers