This article reviews two examples of how Nava has used open-source technologies to bring human-centered testing practices to government services software.
A case study documenting how a modular API layer was built to support a state-level paid family and medical leave program, improving interoperability, scalability, and user experience.
In 2022, Nava formed its first-ever PAC as part of their initiative to help Montana’s Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) program design a new recertification portal. Leveraging what Nava learned from this experience, this toolkit outlines the necessary steps to form a PAC, including planning a structure for the council, recruiting participants, and other logistics.
Nava built flexible and reusable software and design components to make it easier for Vermonters to access their benefits. These components support Vermont’s long-term vision of integrating eligibility and enrollment processes for all of the state’s healthcare and financial benefit programs.
A case study documenting how a human-centered claimant portal was developed for the New Jersey Department of Labor (NJDOL) to modernize unemployment insurance access using agile development and API technology.
This case study describes how Nava is working with the General Services Administration, Fearless, and the U.S. Postal Service to design, build, and deliver a new in-person identity verification service to nearly 20,000 USPS locations
Differing federal requirements for public benefit applications create significant barriers for applicants and complicate state efforts to integrate services.
Usability tests can help teams develop products that are user-centered, accessible, and inclusive. This guide will help you create a robust plan to promote a successful usability test.
Implementing an API standard for WIC Management Information Systems (MIS) would enable seamless integration of digital tools, enhancing service delivery and accessibility for participants and staff.
Guidance on improving how well AI systems can understand digital content. It emphasizes using machine-readable formats and applying clear content design strategies to enhance both AI processing and human accessibility
An overview of current technology systems used by WIC agencies nationwide, highlighting trends, challenges, and opportunities for modernization to improve program efficiency and participant experience.
