This publication summarizes a body of research about how state benefits administering agencies build and maintain integrated eligibility and enrollment (IEE) systems. It is an easy to reference guide for state administrators, legislators, advocates, and delivery partners.
A case study describing how a 90-day generative AI (GenAI) pilot using Google’s Gemini tool was conducted across state agencies to assess productivity, creativity, and responsible use in government work.
Colorado Governor's Office of Information Technology (OIT)
This report provides human-centered design templates and implementation guidance to help states integrate Medicaid work requirement questions into benefits applications while minimizing administrative burden and coverage loss.
A user research–driven persona framework that identifies key resident groups interacting with government services and outlines their needs, behaviors, and pain points to inform digital service design.
Practitioner Picks is a quarterly series designed to add fresh resources to the Digital Government Hub’s library, helping people improve government digital service delivery. Each issue spotlights resources chosen by practitioners in a specific service delivery area along with their insights on why these picks are valuable additions to the Hub.
This brief provides a framework for states to align and coordinate work requirement implementation across SNAP and Medicaid following the passage of H.R. 1.
This blog post serves as a guide for state agencies to develop flexible and actionable metrics systems for tracking the implementation and impact of new work requirements under H.R. 1.
This discussion paper advocates for states to use the implementation of OBBBA (One Big Beautiful Bill Act) as a catalyst to build integrated, cross-agency data systems.
This article provides an overview of the Medicaid Payment Error Rate Measurement (PERM) program and examines how the 2025 budget reconciliation law introduces new federal funding reductions for states that exceed specific eligibility error thresholds.
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.
This report analyzes the critical role of SNAP’s "broad-based categorical eligibility" (BBCE) policy and the widespread consequences of its potential elimination by the Trump Administration.
