This file contains two, state-agnostic service blueprints that visualize how the new work requirements policy passed as part of H.R. 1 impacts the process of applying for, determining, and maintaining eligibility for SNAP and Medicaid benefits.
This analysis outlines how the federal H.R. 1 legislation will reshape funding, eligibility, and service delivery across key state programs—including SNAP, Medicaid, higher education, and energy—quantifying projected fiscal and human impacts across multiple agencies
Washington State Office of Financial Management (OFM)
This slide deck describes the main mechanisms in a dynamic analysis of H.R. 1, explains the changes to SNAP, and explains the macroeconomic effects and budgetary feedback of those changes.
This blog presents a service blueprint that maps how expanded SNAP work requirements will affect the application, eligibility, and maintenance processes—and offers design recommendations to reduce administrative burden.
This report provides an initial fiscal analysis of how H.R. 1 (the “One Big Beautiful Bill”) will affect the state’s federally funded programs across agencies, estimating multi-billion-dollar reductions in SNAP, Medicaid, education, and infrastructure revenues.
This guide outlines key strategies, definitions, and procedures for improving SNAP payment accuracy and reducing quality control (QC) error rates across states.
This document provides a template for SNAP agencies to use to communicate how they can meet able-bodied adults without dependents (ABAWD) work requirements.
American Public Human Services Association (APHSA)
A national survey of low-wage workers showing that administrative burdens in SNAP and Medicaid are common and strongly linked to food hardship, healthcare hardship, and chronic illness.
This resource provides state agencies and their implementation partners with context on how and why to conduct a Digital Identity Risk Management (DIRM) process, as well as a new spreadsheet-based tool to guide agency teams through the process.
This article examines the historic structural changes to the Supplemental Nutrition Assistance Program (SNAP) enacted through H.R. 1 and their potential consequences for public health and food security.
This workshop summary synthesizes key takeaways from a convening of nearly 40 research and data analytics staff from 15 states focused on SNAP Quality Control (QC) data modeling.
