A FormFest profile highlighting how New York State’s design and technology teams are reimagining form creation through collaborative, human-centered design methods that simplify processes and expand participation.
During this event, researchers addressed questions with findings from data collected from state UI agencies across the country and focus groups with women who have experienced unemployment.
A comprehensive assessment that maps how artificial intelligence is currently being used, governed, and managed across local, state, and federal governments in the United States.
A case study that reflects on the design, implementation, and early outcomes of a local child care wage boost pilot aimed at improving job quality and retention in the child care workforce.
A plain-language overview explaining how federal law regulates automated calls and text messages to the public, including when consent is required and who is exempt.
When people hit the moment in the HealthCare.gov sign-up process where they need in-person help, they’re likely frustrated and at risk of abandoning the process altogether. To help, Ad Hoc designers on the Centers for Medicare & Medicaid Services (CMS) Find Local Help team extensively researched user pain points and used human-centered design to create a tool that respects the stress users may experience and delivers the information they need as quickly and simply as possible.
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 article highlights the federal government's efforts to improve customer experience through collaborative, human-centered approaches and lessons on embracing risk, partnerships, and user-focused design.
The study investigates how state agencies administering SNAP comply with Title VI of the Civil Rights Act by providing language access for individuals with limited English proficiency (LEP).
The team examined how AI, specifically LLMs, could streamline the case review process for SNAP applications to alleviate the burden on case workers while potentially improving accuracy.
This interview template includes questions designed to help teams conduct exploratory, semi-structured interviews with government stakeholders involved in program delivery to gather information that can help them evaluate the status quo of digital delivery in their organization.
