This guide by Cyd Harrell serves as a comprehensive manual for technologists aiming to engage effectively in public sector projects, offering practical advice on navigating government partnerships and driving impactful change.
This case study describes Nava's with the state of Montana’s Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) agency to build an eligibility screener tool.
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.
Usability tests can help teams develop products that are user-centered, accessible, and inclusive. This guide will help you conduct a successful usability test, from coordinating with participants to analyzing your findings.
Reddit's unemployment forums have become vital support networks during the pandemic, offering advice, emotional support, and a sense of community to those navigating job loss and financial hardship.
This article examines how outdated state unemployment insurance (UI) systems struggled during the COVID-19 pandemic, leading to delays, technical failures, and widespread frustration for job seekers.
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.
