The Decide Methods help you derive insights from the information gathered during the Discovery phase. You’ll validate initial assumptions, develop a deeper understanding of workflows and processes, and develop design hypotheses.
This landscape analysis examines data, design, technology, and innovation-enabled approaches that make it easier for eligible people to enroll in, and receive, federally-funded social safety net benefits, with a focus on the earliest adaptations during the COVID-19 pandemic.
This case study highlights how states used data sharing and targeted outreach to boost WIC enrollment among Medicaid and SNAP participants, improving program reach and reducing disparities.
This issue brief describes the Pennsylvania case study, outlines the historical context, and offers strategies and recommendations for successfully implementing Fast Track.
This book is an in-depth exploration of federal programs and controversial legislation demonstrating that administrative burden has long existed in policy design, preventing citizens from accessing fundamental rights. Further discussion of how policymakers can minimize administrative burden to reduce inequality, boost civic engagement, and build an efficient state.
Testing (and re-testing) your designs with users will help you build the best possible product. Our Validate Methods cover varied testing scenarios and potential user groups.
Minnesota is a good example of an organization that started small in its drive to integrate benefits programs. For instance, its recent statewide rollout of its online integrated benefit application website, MNbenefits.mn.gov, started as a pilot in 2020 with Code for America. The pilot encompassed two counties including Hennepin County, where Minneapolis is located. The pilot later expanded to four counties, then 16 and a tribal nation. The final roll out, which took 12 months to implement, included the state’s 87 counties and three tribal nations.
