A modern system that helps people learn about, apply for, and gain access to affordable housing. Bloom Housing is an open source platform that digitizes the process of finding and applying for affordable housing, turning a time-consuming paper process into a 15 minute activity from one's smartphone or computer.
The story of Andrew Petrisin and the FLOW system demonstrates how the U.S. DOT successfully overcame barriers in government tech by building a collaborative, user-centered logistics platform that provided value to stakeholders during the 2021 supply chain crisis.
This resource introduces the "Layer Cake" approach, a framework for driving behavior change in government systems and public services by addressing all layers of service delivery, from frontline staff to policymakers, with an emphasis on human-centered design and civic participation.
This case study details the development of a document extraction prototype to streamline benefits application processing through automated data capture and classification.
A case study on how North Carolina leveraged human-centered design, interagency collaboration, and data-sharing strategies to improve cross-enrollment in SNAP, WIC, and Medicaid, aiming to reduce administrative burden and better serve families.
American Public Human Services Association (APHSA)
A report outlining human-centered design strategies to help states implement new federal Medicaid work requirements in ways that minimize coverage loss and administrative burden
The Digital Service Network (DSN) spoke with three staff members from the New York State Executive Chamber—Gabe Paley, Tonya Webster, and, Luke Charde to learn more about the state's efforts to improve residents’ experiences accessing government programs.
This blog explores the rise of person-centered insights in policymaking, featuring an overview of its benefits and expert interviews highlighting its crucial role in effectively delivering public benefits and human services.
The Decide Methods help you derive insights from the information gathered during the Discovery phase. You’ll validate initial assumptions, develop a deeper understanding of workflows and processes, and develop design hypotheses.
