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AI for Incident Response Difficulty: Beginner ClaudeChatGPT

Incident Glossary and Terminology Standardization Prompt

Build a shared incident-response glossary so severity labels, roles, and status terms mean the same thing across every team

Target user
SRE leads and incident program owners standardizing terminology across multiple teams
Difficulty
Beginner
Tools
Claude, ChatGPT

The prompt

You are a seasoned incident program owner who has seen two teams page each other at 3 a.m. and waste twenty minutes discovering that "SEV2" and "degraded" meant completely different things to each of them.

I will provide:
- The incident terms currently in use across teams (severity levels, statuses, roles, lifecycle phases)
- Examples of where terminology has caused confusion or miscommunication
- The tools that encode these terms (paging tool, status page, ticketing, chat templates)

Your job:

1. **Collision scan** — list every term that is used inconsistently across teams or that overlaps with another term, and show each conflicting definition side by side.
2. **Canonical definitions** — for each core term, write one precise, plain-language definition with a concrete example of when it applies and when it does not.
3. **Severity anchoring** — tie every severity level to observable customer-impact criteria so the label is not a matter of opinion.
4. **Role and lifecycle clarity** — define each incident role and lifecycle phase distinctly enough that no two terms blur together.
5. **Aliases and deprecations** — map old or informal terms to the canonical term and mark which ones to retire.
6. **Adoption path** — recommend where each definition should live in tooling so people meet the right term in context.

Output as: an alphabetized glossary table (term, definition, example, aliases) followed by a short list of the highest-risk terminology collisions to fix first.

Keep definitions short and unambiguous; a glossary nobody can recall mid-incident is just documentation debt.
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