The prevailing wisdom in security operations centers is that reducing Mean Time to Respond (MTTR) is an unalloyed good—a primary KPI that directly correlates with reduced risk and improved efficiency. After conducting a structured analysis of workflow telemetry across several platforms (comparable to my CRM evaluation methods), I posit that an obsessive focus on MTTR as a top-tier metric creates perverse incentives that degrade analyst performance and increase the likelihood of significant misses.
The core issue is that MTTR is an aggregate, quantitative measure that says nothing about the quality of the response. When management prioritizes and visibly dashboards this metric, the analyst's environment becomes analogous to a sales team being judged solely on call volume, not outcomes. The pressure to "close tickets" leads to predictable, sub-optimal behaviors:
* **Premature Escalation:** To clear an alert from their queue quickly, an analyst may escalate to Tier 2 or incident response with incomplete triage notes, simply to stop their personal "clock." This passes the burden and creates friction downstream.
* **Superficial Triage:** Complex alerts that require deep dive investigation—following a chain of 5+ events across multiple log sources—are often resolved with the safest, most common classification (e.g., "benign") to achieve a faster closure time. The anomalous, novel attack pattern within the noise is overlooked.
* **Playbook Misapplication:** Analysts will force-fit an alert into a well-known playbook to enable automated, fast closure, even if there are subtle deviations that warrant manual investigation. The SOAR tool becomes a mechanism for speed, not necessarily accuracy.
This creates a hidden liability. We improve the metric but potentially increase the "Dwell Time" for sophisticated attacks that don't fit our standard models. The analyst's role shifts from investigator to process operator.
My proposed counterbalance is a shift towards a suite of qualitative and investigative metrics, reviewed in tandem with MTTR. We should be measuring what indicates thoroughness and skill development:
* **Mean Time to *Understand* (MTTU):** Tracking the time from alert assignment to the first substantive, investigative action (e.g., "expanded search window," "queried external intelligence," "correlated with endpoint data"). This rewards starting deep work.
* **Escalation Quality Score:** A periodic audit of escalated tickets by Tier 2/3 teams, rating the completeness and accuracy of the initial triage. This provides feedback on the *output* of the rapid response.
* **False Negative Audit Rate:** Implementing regular, retrospective hunts on closed "benign" or "false positive" alerts to identify classifications that were incorrect. The goal is to measure and reduce this rate, not just close alerts.
The objective is not to discard MTTR, but to demote it from its singular throne. Just as in revenue operations, where focusing only on lead quantity destroys conversion rates, in security, focusing only on speed degrades detection efficacy. We must build a metrics framework that rewards diligent investigation, not just rapid clerical closure.