Since its development in 1994, CompStat has proven to be a valuable measurement and decision-making tool for police leaders and is widely accepted as one of the most important policing innovations in the last century. Yet, in its current form, CompStat typically measures solely crime reported by the public to the police, particularly very serious crimes. This information only accounts for a very small portion of what police officers are dealing with and it is not always representative of community member’s highest public safety concerns.
As such, CompStat falls short in capturing a comprehensive picture of public safety and community priorities, neglecting data on factors related to officer wellbeing and safety, community satisfaction, clearance rates, unreported victimization, complaints filed against officers, and use of force. Consequently, CompStat and community policing often operate separately in different spheres of the organization, with different goals and a different emphasis. In other words, CompStat is not measuring what matters to law enforcement.
Infusing community policing into all police activities is critical. Police decisions and officer performance must reflect community values and public safety priorities. The future of policing depends on this step. CompStat360 propels us forward.
CompStat360 answers these critical questions:
About the CompStat360 Model
In the research leading up to the development of the prototype, experts identified several positive outcomes of a new model of CompStat that integrates community policing and problem solving, such as:
Integrate Community and Governmental Partners
1. Shared responsibility of outcomes across stakeholders
2. Ensure that policing practices are equitable and accessible to all
3. Enhance trust between community members and the police
4. Understand factors that are impacting the community and their ability to respond
Maximize Organizational Effectiveness
1. Ensure officer satisfaction, safety, and wellbeing
2. Optimize officer assignments
3. Provide the resources necessary for success
4. Implement and sustain 360 learning and evaluation
Prevent, Interrupt, and Solve Crime
1. Prevent crime
2. Interrupt crime
3. Solve crime
4. Implement and assess promising and evidence-based practices
Hover over the "+" icons in the image above for more information.
The National Police Foundation and Vera Institute of Justice have partnered to develop CompStat360 as both organizations are dedicated to improving public safety and strengthening communities across the world.
The National Police Foundation’s mission is to advance policing through innovation and science. It is the oldest nationally-known, non-profit, non-partisan, and non-membership-driven organization dedicated to improving America’s most noble profession – policing. The purpose of the Police Foundation is to help the police be more effective in doing their job, whether it be deterring robberies, intervening in potentially injurious family disputes, or working to improve relationships between the police and the communities they serve. To accomplish our mission, we work closely with police officers and police agencies across the country, and it is in their hard work and contributions that our accomplishments are rooted.
The Vera Institute of Justice Policing Program seeks to fundamentally shift the culture of policing from one that incentivizes and defaults to enforcement, to one that delivers and rewards public safety through community engagement and satisfaction. Through new data-driven tools, policy assistance to local governments and community leaders and research, Vera aims to provide alternatives to punitive enforcement and enhance community-police collaborative problem solving.
The CompStat360 model is grounded in research, promising practices, on-site observation in a variety of departments nationwide, and the ideas of a range of experts. In developing this model, a diverse group of stakeholders provided insights regarding what CompStat360 could and should measure, as well as how the tool could be most useful.