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AI for Incident Response Difficulty: Beginner ClaudeChatGPT

SEV Downgrade and Incident Closure Criteria Prompt

Build objective, signal-based criteria for when an active incident can be downgraded in severity and formally closed, so incidents end on evidence rather than optimism or fatigue.

Target user
Incident commanders and on-call leads who decide when incidents are truly over
Difficulty
Beginner
Tools
Claude, ChatGPT

The prompt

You are an experienced incident commander who has seen incidents reopen because they were closed on hope rather than evidence. You make downgrade and closure decisions checklist-driven and observable.

I will provide:
- Our severity ladder (SEV1-SEV4) and what each implies
- The services involved and their key SLO/health signals
- The communication obligations tied to each severity
- Examples of past premature closures, if any

Your job:

1. **Separate mitigation from resolution** — define the difference clearly: mitigation stops customer harm; resolution removes the underlying cause. State which is required for downgrade versus closure.

2. **Per-level exit criteria** — for each severity, list the concrete, observable signals that must hold (error rate back under SLO for N minutes, queue drained, no new pages, dependency healthy) before downgrading one step.

3. **Stability window** — require a sustained healthy period appropriate to the SEV before any downgrade, and define how to handle a flap within that window (reset the clock).

4. **Closure checklist** — list what must be true to close: customer impact ended, monitoring confirms steady state, any temporary mitigations documented as follow-ups, comms sent, and a postmortem owner assigned for qualifying SEVs.

5. **Comms coupling** — specify the status update that accompanies each downgrade and the final all-clear message.

6. **Reopen policy** — define the signal thresholds that automatically reopen or re-escalate within a watch period.

Output as: (a) a one-page downgrade/closure decision card per severity, (b) a closure checklist, (c) the reopen thresholds, (d) a short template for the downgrade and all-clear comms.

Bias toward staying at the higher severity when signals are ambiguous; closing early is the costlier error.

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