But when it comes to service, the bedrock of community trust, we have historically operated in a data vacuum. We make high-stakes decisions based on “anecdotal management”: the loudest voices at town halls, on viral social media clips or the stack of formal complaints on the internal affairs desk. But the reality is that these represent less than 1 percent of our total interactions. To manage an agency based on this data alone isn’t just inefficient — it’s professionally irresponsible. It is time for public safety to add a third pillar to its mission: measure.
In the early 2000s, the health-care industry faced a similar identity crisis. The federal government introduced the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. Physicians and hospital administrators were predictably terrified. They argued that medical care shouldn't be a “popularity contest” and that patients didn't have the expertise to “grade” a surgeon.
They were wrong.
What health care discovered, and what public safety is beginning to realize, is that sentiment data isn't a weapon used to punish staff — it is a diagnostic tool used to save the institution. As a retired police chief and criminologist, I believe we are currently in our “pre-HCAHPS” era. We are sitting on a goldmine of community sentiment that could solve our recruitment, retention, and trust crises, yet we are too afraid to pick up the shovel.
THE PROCEDURAL JUSTICE GAP
In health care, if a patient understands the “why” behind a painful procedure, they heal faster and sue less. In policing, if a citizen understands the “why” behind a traffic stop, they are more likely to support the agency. But how do we know if our officers are actually delivering that “why”?
Without automated, digital community surveys, we are guessing. We are flying a multimillion-dollar organization without a fuel gauge.
THE ‘SILENT MAJORITY’ IS A DATA SET, NOT A MYTH
The primary fear I hear from my peers regarding community surveys is, ”We’ll just give the ‘haters’ another megaphone.”
The data tells a different story. When agencies implement automated survey platforms integrated directly into CAD or RMS systems, they move from “convenience sampling” (the angry few) to “representative sampling” (the silent many).
In my experience, when you survey every person who calls for service or is stopped for a violation, you don't find a wall of hate. You find an overwhelming silent majority that appreciates the professional service they received. This isn't just “feel-good” PR; it is institutional insurance. When a controversial incident inevitably occurs, a chief who can point to six months of 90 percent positive sentiment data has a much stronger shield than a chief who can only offer “gut feelings” about community support.
We cannot ignore the service-profit chain, a management theory that proves employee satisfaction is the primary driver of customer loyalty. In our world, the “profit“ is public safety.
Our officers are currently suffering from a "negativity bias." They spend 10 hours a day dealing with people on their worst days, followed by two hours of reading negative comments online. They feel unappreciated because the thank-yous are rarely documented.
When we use technology to capture the positive sentiment of the community and funnel it back to the officer on the street, we aren't just being nice — we are combatting burnout. We are giving them empirical evidence that proves their work matters. In an era of unprecedented recruitment challenges, this feedback loop is a retention tool we can no longer afford to ignore.
THE BOLD PATH FORWARD
Public safety technology has spent the last decade focused on physical data: better cameras, faster drones and more precise forensics. It is time we apply that same technical rigor to human data.
The transition to a feedback-driven model requires courage. It requires leaders to stop asking, “What if they say something bad?” and start asking, “How can we lead if we don't know the truth?”
The health-care industry didn’t collapse under the weight of patient feedback — it evolved. It became more precise, more human-centered and, ultimately, more effective. Public safety is at that same threshold. The tools exist. The data is waiting. The only thing missing is strong leadership with the will to click “send.”
J.T. Manoushagian is a retired police chief from a metropolitan law enforcement agency in North Texas. With more than two decades of public safety experience, he is a strong advocate for collaborative policing and public-private partnerships. Manoushagian is known for his strategic approach to crime prevention and his leadership in forging innovative alliances between law enforcement and the retail sector. In retirement, he serves as a public safety executive adviser with a public-sector SaaS company.
