The 2021 President’s Management Agenda identified federal customer experience as a priority area for improvement. GAO was asked to review OMB and selected federal agencies’ efforts to improve federal customer experience.
This report explores how state and local agencies can enhance customer service in health and human services by implementing technologies such as web-based tools, mobile applications, and call center innovations, aiming to streamline processes and improve client interactions.
This report explores policy options Utah and other states can adopt to mitigate benefit cliffs, which occur when small income increases lead to sudden loss of public assistance.
This guide provides practical insights for benefits administrators on redesigning benefits systems using human-centered design to ensure all eligible residents can access crucial social safety net resources.
Policymakers, program administrators, federal leaders, researchers, and advocates are increasingly focused on using administrative data to build evidence for improving government programs. Achieving this goal requires accessible data sources and the capacity to use them, yet stakeholders have little information about the baseline level of state capacity in these areas. How does one measure concepts such as “effective data use” and “analytic capacity?” This brief reports findings from a pioneering and comprehensive needs assessment that examined the capacity of Temporary Assistance for Needy Families (TANF) programs in 54 U.S. states and territories to analyze data used for program improvement, monitoring, and evidence-building. The needs assessment provides a foundation for technical assistance and continued improvement for the TANF program and may also provide valuable insights and frameworks for other state-administered human services programs.
This budget request details ADES's FY2027 funding priorities—including developmental disability services, child care, IT modernization, and compliance with H.R. 1—and outlines projected fiscal impacts, caseload growth, and programmatic needs across the state
A case study explaining how a predictive, data-driven machine-learning model was developed to detect unauthorized cash benefit withdrawals more quickly and accurately in California.
LA’MESSAGE is a one-way text messaging service developed by Code for America in partnership with Louisiana to broadcast reminders and guidance to residents enrolled in and eligible for SNAP, Medicaid, TANF, and WIC at key points throughout the benefits enrollment and renewal process.
