Incident Management — Real World Scenarios
A note on framing: all three scenarios below are illustrative/composite — common, well-documented patterns from public postmortems and incident-management practice industry-wide, not one specific traceable company's incident.
Scenario 1 (illustrative/composite): The rollback that wasn't actually the fastest option
The pattern: A P1 incident starts shortly after a deployment. Following the standard playbook ("rollback is almost always the fastest mitigation"), the on-call engineer initiates a rollback immediately. But this particular deployment included a database migration that isn't safely reversible in the time available — rolling back the application code while the database schema has already changed causes a second, different failure mode (the old code now querying columns that no longer match), extending the outage rather than ending it.
Why "rollback first" as a default rule has a real exception worth naming explicitly: the standard advice exists because most deployments genuinely are safely and quickly reversible, and defaulting to rollback saves precious time versus diagnosing the actual bug first. But a deployment that includes a schema migration, a data backfill, or any change with real side effects outside the application code itself breaks the assumption that rollback is a clean, symmetric operation. Treating "rollback" as a single universal button rather than checking what the deployment actually contained is exactly the gap this scenario falls through.
What actually addresses this:
Scenario 2 (illustrative/composite): The postmortem that praised the response and missed the real lesson
The pattern: A postmortem for a P1 incident concludes with "the team responded quickly, communication was excellent, MTTR was well within target" — genuinely true, and worth recognizing. But the actual root cause (a specific dependency's connection pool exhausting under a load pattern that had actually happened twice before, quietly, at a severity too low to trigger a full postmortem either time) never gets addressed, because the postmortem process only fully engages once something crosses the P1/P2 threshold. The same root cause causes a third, larger incident a few months later.
Why a well-executed response to an incident and a well-addressed root cause are genuinely different outcomes, easy to conflate: a postmortem culture that measures itself primarily on response-quality metrics (MTTR, communication cadence) can look highly effective by every metric it tracks while the underlying systemic issue goes unaddressed, specifically because those metrics measure how well the team reacted, not whether the actual cause got fixed. This is a subtle trap — celebrating a genuinely well-run incident response can create a false sense that the incident has been "handled," when a fast, well-communicated response to a recurring root cause is a much smaller win than actually fixing that root cause.
What actually addresses this:
Scenario 3 (illustrative/composite): The incident commander who was also the only person who could fix it
The pattern: During a P1 incident, the most senior engineer on the team — the person who best understands the affected system — takes on the Incident Commander role by default, since they're clearly the most capable person available. Within twenty minutes, it becomes clear the actual fix requires that same engineer to be heads-down writing and testing a patch, but they're also the one fielding status-update requests, coordinating with three other teams, and making the mitigation-timing call — and all three responsibilities suffer simultaneously.
Why this role conflict is a common, structural mistake rather than a one-off staffing error: the Incident Commander role, done well, is explicitly a coordination role — managing communication, making the call on timing and escalation, keeping the incident moving — not a hands-on-keyboard debugging role. The most technically capable person is often, understandably, the instinctive choice for "who's in charge," but that instinct conflates technical authority with incident command, which are genuinely different skills and, during an active incident, competing uses of the same person's limited attention.
What actually prevents this:

