Across the country, 911 and alternative response program managers need to be ready to answer these questions from mayors, city councils, and communities:
- How is our alternative response program performing?
- What percentage of eligible calls is our team handling?
- What actually happens when our teams arrive on scene?
- Are our teams helping people get connected to additional services?
Oftentimes, program managers struggle to answer these questions because the data they rely on is unclear. Key information is spread across systems, defined differently in 911 computer-aided dispatch (CAD) software and alternative response records management systems (RMS), or not captured at all. Program managers often describe data work as time-consuming, frustrating, and prone to misinterpretation. When stories about these programs are incomplete or inconsistent, public trust and support can erode.
Despite rapid growth in alternative response models, there are still no shared standards for the field on what data programs should collect or how they should calculate these metrics.
This toolkit fills that gap by providing a:
- Data Dictionary
- Guide for Calculating Essential Metrics
- FAQ for Troubleshooting Common Data Challenges
Taken together, these resources help programs use existing data systems to generate clear, reliable, and accurate metrics. The goal of this toolkit is to create a shared data language spoken across jurisdictions that works for alternative response teams, allowing them to compare outcomes and tell compelling stories about their impact.
We encourage you to join a new field standard and adopt this toolkit to strengthen your program’s operations, accountability, and case for investment.