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

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

OPRE Report # 2022-66
Published: May 31, 2022
Publisher: Washington, DC: Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services
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Authors

Michelle K. Derr

Angela Ghesquiere

Edith Kealey

Dina Zagari-LiMandri

Lyndsey Richardson

Genesis Reyes

Samantha Palermo

Joseph O’Brien

Brittany Tabora

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. This brief highlights lessons learned through this process and aims to help TANF and other human services agencies generate ideas of how to use data-driven reflection (testing) to make decisions and continuously improve their programs.

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