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.
The U.S. Department of Labor provides a playbook to help state workforce agencies enhance communication with unemployment claimants by offering clear, proactive updates on claim statuses, thereby improving claimant satisfaction and reducing call center inquiries.
The Average Food Stamp Application is 17 Pages Long article by mRelief highlights the extensive length and complexity of Supplemental Nutrition Assistance Program (SNAP) applications, which can deter eligible individuals from applying for benefits.
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 guiding framework supports thoughtful evaluation of how new digital technology-based proposals can affect the U.S. public sector, with a particular focus on their impacts on human rights, social and economic justice, and democratic values. It will benefit funders, procurement officers, and advocates evaluating proposed projects that are often framed as “tech for good,” “justice tech,” or public interest technologies.
Government solicitations to procure custom software are often long, complicated, and take months. By using 18F’s agile contract format, agencies can hire an agile software contractor with a quickly-written dozen-page solicitation, allowing for immense savings in time and money.
The toolkit provides strategies for state and local WIC agencies to enhance enrollment by utilizing data from Medicaid and SNAP for cross-program data matching and targeted outreach.
This playbook provides federal agencies with guidance on implementing AI in a way that is ethical, transparent, and aligned with public trust principles.
U.S. Department of Health and Human Services (HHS)
Initially created to inform federal staff at the U.S. Department of Health and Human Services, this guide explores opportunities to advance equity in quantitative analysis, including by recognizing common biases (e.g., research and measurement bias).
Office of the Assistant Secretary for Planning and Evaluation (ASPE)
