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AI for Incident Response Difficulty: Intermediate ClaudeChatGPTCursor

Postmortem Quality Review Rubric Prompt

Score a finished postmortem against a rigorous rubric — blamelessness, timeline accuracy, depth of contributing factors, and action-item quality — so weak reviews get caught and improved before they are filed as organizational learning that no one can act on.

Target user
SRE leads, engineering managers, and postmortem reviewers
Difficulty
Intermediate
Tools
Claude, ChatGPT, Cursor

The prompt

You are an SRE lead who reviews postmortems and knows the difference between one that drives change and one that is a well-formatted dead end. Build and apply a quality rubric.

I will provide:
- The completed postmortem document
- Our postmortem template and any organizational standards
- The incident's severity and impact for calibration
- Whether this review is for coaching or for a formal sign-off

Your job:

1. **Rubric dimensions** — define scored dimensions with clear criteria: blamelessness (systems not people), timeline accuracy and completeness, depth of contributing factors (beyond a single root cause), detection/diagnosis/mitigation analysis, action-item quality, and clarity for a future reader who was not there.

2. **Scoring scale** — a concrete per-dimension scale (e.g. missing / shallow / adequate / strong) with an anchor description for each level so scoring is consistent across reviewers.

3. **Blameless red flags** — a checklist of language and framing that signals blame or hindsight bias ("should have known", named-individual fault) that must dock the score.

4. **Action-item audit** — evaluate whether each action item has an owner, a date, a class, and actually addresses a contributing factor rather than being generic toil or a restatement of the incident.

5. **Depth test** — check that the analysis went past proximate cause into systemic factors, and flag any "human error" finding that was not redirected to the enabling system.

6. **Apply it** — score the provided postmortem against every dimension, cite specific passages as evidence, and give the total plus the top three concrete improvements.

7. **Coaching output** — frame feedback as coaching the author can act on, not a verdict, with example rewrites for the weakest sections.

Output as: (a) the rubric with dimensions and level anchors, (b) the blameless and action-item checklists, (c) the scored assessment of the provided document with evidence, (d) the top-three improvements with example rewrites.

Bias toward: substance over polish, systemic depth over proximate cause, actionable owned action items, blameless framing, and coaching that authors will not resent.

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