Using Data-Driven Reflection to Improve Program Quality: New York City's Human Resources Administration Redesigns Its Upfront Assessment Process for Youth and Families Receiving Cash Assistance

Michelle K. Derr, Erin Welch, Angela Ghesquiere, Edith Kealey, Dina Zagari-LiMandri, Lyndsey Richardson, Genesis Reyes, Samantha Palermo, Alexandra Stanczyk, Joseph O’Brien and Brittany Tabora

Mathematica Policy Research Reports from Mathematica Policy Research

Abstract: The purpose of this brief is to describe how the NYC HRA used evidence-based decision making and a data-driven reflection process to systematically test and refine their upfront assessment process for youth and families receiving TANF.

Keywords: TANF; workforce; data driven; continuous improvement (search for similar items in EconPapers)
Pages: 9
New Economics Papers: this item is included in nep-dem
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