The team developed an AI solution to assist benefit navigators with in-the-moment program information, finding that while LLMs are useful for summarizing and interpreting text, they are not ideal for implementing strict formulas like benefit calculations, but can accelerate the eligibility process by leveraging their strengths in general tasks.
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
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.
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.
This article reviews two examples of how Nava has used open-source technologies to bring human-centered testing practices to government services software.
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.
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.
