Data-Driven Performance Management

How can government collaborate with providers to improve service delivery in real time?

Someone working on a computer with lots of charts and graphs.

Overview

Residents rely on government services every day, whether they are calling 911, finding affordable housing resources, or enrolling in public benefits programs. To improve these essential services and deliver better outcomes for residents, governments must determine how well services are currently performing and identify areas for improvement. 

However, government leaders often lack insight into how a service is performing until it ends and vendors are paid. The GPL’s Data-Driven Performance Management approach helps government leaders assess how services are performing as they are being delivered, allowing for real-time improvements. It also helps leaders collaborate more effectively with service providers to improve the delivery of critical social services to residents. 

The iterative approach consists of three core components: 

  1. Measure: Measuring how well a program is performing using key metrics. 
  2. Insight: Uncovering what is and is not working. 
  3. Action: Testing and evaluating changes to determine if they improve outcomes for residents.  


Explore the GPL’s other strategic capabilities:


Information Hub

Investing in the Homelessness Response Workforce: Training in Data-Centric Approaches as a Workforce Support in New Jersey

Investing in the Homelessness Response Workforce: Training in Data-Centric Approaches as a Workforce Support in New Jersey

Homelessness response workforce leaders participate in a workshop around a table.

In 2024, the GPL created and led a 12-week training program on data-driven approaches to homelessness response for a cohort of more than 50 members for the New Jersey Department of Community Affairs Office of Homelessness Prevention. Participants received training on foundational data skills, logic models, and how to use data to improve program outcomes.

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Selecting 911 Calls for Emergency Response in Long Beach, California

Selecting 911 Calls for Emergency Response in Long Beach, California

Stock image of a 911 operator looking at computer screens.

The GPL worked with the City of Long Beach, California to choose which types of 911 calls to divert through their alternative 911 response program. The city utilized data-driven performance management approaches to identify potential call scenarios and understand data on call volume, scenario, and outcome, by call code.

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Strengthening Kinship Placements in Michigan

Strengthening Kinship Placements in Michigan

The GPL worked with leaders in Michigan to increase kin placements for children entering out-of-home care and strengthen targeted supports for kin caregivers. The GPL applied data-driven performance management principles to monitor the efficacy of their efforts.

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Research & Insights