Which statement about analytical inquiry in problem solving is true?

• A. Community problem solving is consistent with traditional incident-driven policing.
• B. Any decision associated with an ethical dilemma results in negative consequences.
• C. The key to problem solving in a community policing environment involves an analytical inquiry before devising solutions.
• D. To be effective, responses to a problem must impact all three sides of the problem analysis triangle.

Answer: (C)

Analytical inquiry before acting is essential in solving problems, especially in a community policing context. This means taking a careful, data‑driven look at what is really happening: defining the problem clearly, gathering relevant facts, identifying root causes, and considering who is affected, what resources are available, and what the potential consequences and ethical implications might be. When you center your approach on this deep analysis, the resulting solution is more targeted and effective because it addresses the underlying factors rather than just treating symptoms of the issue.

In a community policing framework, this analytical step is what turns reactive, incident-driven responses into proactive, collaborative problem solving. By examining patterns across incidents, locations, and affected groups, officers can design interventions that reduce recurrence, improve legitimacy, and build trust with the community. Ethical considerations—fairness, transparency, proportionality, and rights protection—also flow from this analysis, guiding choices that are not only effective but responsible.

The other statements don’t fit as well. Relying on incident-driven policing misses the chance to tackle root causes and long-term improvement. Treating every ethical dilemma as inherently negative ignores that ethical decision-making can lead to positive, harm‑reducing outcomes when guided by principles. And insisting that effective responses must impact all three sides of a problem analysis triangle imposes an unnecessary requirement; sometimes a focused, well‑designed intervention on a key factor yields the right balance of risk, benefit, and feasibility.