Nava partnered with California's Employment Development Department (EDD) to rapidly develop two cloud-based digital services, enhancing unemployment benefit access during the COVID-19 pandemic.
Article describing the “time tax,” the costs to people applying or benefits in terms of spending substantial amounts of time navigating user-unfriendly interfaces. The article describes the necessity of simplifying safety-net programs and cross-coordinating across various social service programs.
This article describes the necessity of building an inclusive research environment that empowers participants, as well as techniques for creating such environments in both in-person and remote capacities.
This video shows you how to get started with using Generative AI tools, including Bard, Bing, and ChatGPT, in your work as public sector professionals.
Defining a product in government digital services is crucial, as it serves as the means through which a service is delivered to the public, and understanding its attributes ensures effective and continuous improvement.
Government agencies adopting generative AI tools seems inevitable at this point. But there is more than one possible future for how agencies use generative AI to simplify complex government information.
Webinar that shares Nava’s partnership with the Gates Foundation and the Benefits Data Trust that seeks to answer if generative and predictive AI can be used ethically to help reduce administrative burdens for benefits navigators.
Ad Hoc has found that product operations can help scale impact by putting objective indicators at the center of product decision-making. The team has seen success in supporting product thinking at agencies like the Department of Veterans Affairs (VA), where they made it easier for Veterans to access employment and education assistance and for caregivers to receive needed support.
This article reviews two examples of how Nava has used open-source technologies to bring human-centered testing practices to government services software.
The guidelines for bias-free language contain both general guidelines for writing about people without bias across a range of topics and specific guidelines that address the individual characteristics of age, disability, gender, participation in research, racial and ethnic identity, sexual orientation, socioeconomic status, and intersectionality.
This booklet is designed to help procurement officers and other stakeholders ensure continuity of service, enable seamless future technology upgrades, and plan for contingencies. You can use it to evaluate a prospective vendor contract or bid, or to document how a project went.
