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THREE DON’TS FOR HELPING THE NEEDIEST FAMILIES—PODCAST

Get families to economic sustainability faster with human services analytics.

Overview

Human services agencies cannot be truly effective if families most in need—those with annual gross incomes of less than 50 percent of federal poverty guidelines—stay that way. But the neediest families can be the hardest to help. Human services analytics can provide more individualized help faster.

By starting to collect outcomes data such as time to employment, wages earned when leaving eligibility for assistance, and integrating child support payment data with assistance eligibility data, human services agencies can develop pathways out of poverty for families with common characteristics.

Background

While most agencies have yet to act on the full potential of human services analytics, most see its value. Data insight allows agencies to get more nuanced and prescriptive in helping people than ever before. What better group to focus on than families that need the most help?

With data insight into the dimensions that contribute to a family’s characteristics, human services practitioners can identify its unique strengths and barriers and develop strategies to deliver the most promising interventions. Characteristics to analyze include:

  • Family size

  • Education, employment and criminal history

  • Immigration status

  • Health and disability status

  • Skills gaps

Podcast

Get Families to Economic Sustainability Faster with Human Services Analytics: Human services professionals know that the neediest families can sometimes be the hardest to help—and the journey to economic sustainability is different for each of them. But what if your agency could improve outcomes for the hardest-to-help families—getting them to economic sustainability faster? The good news is that it is possible to provide more individualized help to families faster with human services analytics.

We’ve heard a lot about human services analytics. Agencies are working hard to make the most of using data insight, especially in individualized siloed programs. What’s exciting is that by starting to collect outcomes data—such as time to employment, wages earned when leaving eligibility for assistance, and integrating child support data with assistance eligibility data—you can uncover pathways across siloed programs out of poverty for families with common characteristics. Some agencies seem excited about the prospect of working this way, However, many seem paralyzed to act. These agencies may be making false assumptions about the abilities and capabilities of families in their caseload. They may lack the needed data maturity to help them find the new and meaningful pathways out of poverty for the families they serve. Listen to Howard Hendricks, director of Human Services Business Strategy, on this podcast as he discusses getting families to economic sustainability faster with analytics.