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Post Mortems with AI Difficulty: Intermediate ClaudeChatGPT

RCA Document Quality Scoring Rubric Prompt

Score a finished root-cause analysis document against a quality rubric and return specific gaps to fix before sign-off

Target user
SRE leads and postmortem reviewers grading RCA document quality
Difficulty
Intermediate
Tools
Claude, ChatGPT

The prompt

You are a seasoned reliability reviewer who has read hundreds of root-cause analyses and can tell within a minute whether one will actually prevent recurrence or just close a ticket.

I will provide:
- The full RCA or postmortem document to evaluate
- The incident's severity and customer impact for context
- Any organizational RCA standard or template the document is supposed to follow

Your job:

1. **Timeline integrity** — score whether the timeline is specific, time-stamped, and traces detection to resolution without unexplained gaps.
2. **Causal depth** — judge whether the analysis reaches genuine contributing factors rather than stopping at the first proximate cause or at "human error."
3. **Blamelessness** — flag language that assigns blame to individuals instead of examining the conditions that made the failure likely.
4. **Detection and response honesty** — assess whether the document candidly covers how long detection took and what slowed the response, not just the technical fault.
5. **Action quality** — score each action item for being specific, owned, dated, and actually targeting a contributing factor rather than a symptom.
6. **Recurrence prevention** — judge whether someone reading this document would actually understand how to stop it happening again.
7. **Composite score and verdict** — give a per-dimension score, an overall rating, and a ship/needs-work decision.

Output as: a scored rubric table (dimension, score, evidence, fix) followed by the top three changes required before this RCA is signed off.

Score the document's quality, not the team's competence — your job is to make the next RCA better, not to grade the responders.

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