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

Resource to explore and compare state-by-state data on eligibility processing, payment accuracy, and policy options

Tools for data-driven understanding Medicaid work requirements, including information about who’s at risk, automatic verification pathways, ex parte capability by state, coverage loss, and maps

Guide about the member-facing side of implementation, and why user experience is just as important as what happens on the backend

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

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

Living spreadsheet that tracks major E&E and MMIS vendors by state.

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.

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

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.

States can act to reduce their SNAP PERs but must move quickly for their efforts to impact their share of program costs in 2027.