This study found that using state-specific names for Medicaid programs increased confusion and reduced both positive and negative opinions about the program.
A training course on using artificial intelligence (AI) tools to de-jargonize government language, with a tutorial on turning a complex piece of government writing into simpler and easier-to-understand language for government employees and residents alike.
This article shares insights from Minnesota-based focus groups, revealing that low-income women navigating unemployment insurance often face confusion and uncertainty around eligibility, complex administrative processes, and additional challenges related to childcare, housing stability, and mistrust of benefit systems.
When COVID-19 hit, the State of New Jersey recognized the need to both receive data on the spread of the disease from the public and provide information to them on how to mitigate it.
The Seattle.gov website's new Assistance and Discounts page centralizes information on city benefits and services, offering a user-friendly and consistent experience across 7,000 pages.
This report presents findings and recommendations from a user experience study based on interviews with 156 participants enrolled in Medicaid and SNAP.
Drawing on the Beeck Center’s research on government, nonprofit, academic, and private sector organizations that are working to improve access to safety net benefits, this report highlights best practices for creating accessible benefits content.
