Resources and Toolkits

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

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…

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

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