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

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.

Key strategies to improve accuracy and efficiency of SNAP program delivery, including evaluating intervention impacts independently, developing strong proxy metrics, watching for unintended consequences, strategically reviewing most error-prone case elements and actions, leveraging new technology for caseworkers, and improving client communication and outreach.