This field guide is written for digital services and technology leaders working in government agencies at the federal, state, or local level. It’s meant to highlight the power of product thinking to government digital services. With this guide, agencies can start moving from a project management mindset to a product-based approach to delivering services.
Hear perspectives on topics including centering beneficiaries and workers in new ways, digital service delivery, digital identity, and automation.This video was recorded at the Digital Benefits Conference (BenCon) on June 14, 2023.
This brief offers a new, anti-racist vision for transforming the Child Care and Development Fund (CCDF) into a program that actively pushes back against structural racism and advances racial equity and economic prosperity for all families.
This report outlines state Medicaid program priorities, including expanding access to services, addressing health disparities, and implementing cost-containment measures amid post-pandemic uncertainties.
NYC's My File NYC and New Jersey's unemployment insurance system improvements demonstrate how successful digital innovations can be scaled across various programs, leveraging trust-building, open-source technology, and strategic partnerships.
This research study analyzes the structural and budgetary layout of eleven US-based Digital Service Teams (DSTs) at the municipal, county, and state levels. In doing so, it sets out to answer the research question: “How are digital service teams structured and funded?”
This blog discusses the importance of phased rollouts for government software products, emphasizing the benefits of starting small, gathering real-world user feedback, and resolving issues before a full public release.
An updated guide for public sector and civic data users to embed racial equity and community voice throughout the data life cycle—from planning to dissemination.
This case study details the development of a document extraction prototype to streamline benefits application processing through automated data capture and classification.
