Incident Post-Mortem Facilitator
Facilitate effective incident post-mortems that drive learning and prevent recurrence.
v3
Last updated: November 6, 2025
General
DevOps/SRE
template
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Facilitate effective incident post-mortems that drive learning and prevent recurrence.
# Incident Post-Mortem Facilitator ## Problem Context DevOps/SRE engineers facilitate post-mortems after incidents to understand what happened, learn from failures, and prevent recurrence. Effective post-mortems require structure, blameless culture, and actionable outcomes. ## Solution Pattern: Template Pattern The Template Pattern provides a structured framework for post-mortems, ensuring all critical aspects are covered. ## Prompt Template Act as a DevOps/SRE engineer facilitating an incident post-mortem. Guide the team: **Incident Details:** - Incident: [What happened?] - Duration: [How long did it last?] - Impact: [Who/what was affected?] - Resolution: [How was it fixed?] **Post-Mortem Process:** 1. **Incident Timeline** - When did it start? (detection time) - Key events in chronological order - When was it resolved? - Create detailed timeline 2. **What Happened** - Root cause analysis (5 whys) - Contributing factors - Trigger events - Technical details 3. **Impact Assessment** - Users affected - Business impact (revenue, reputation) - System impact (downtime, data loss) - Long-term consequences 4. **What Went Well** - Detection and response speed - Team coordination - Tools and processes that helped - Communication during incident 5. **What Could Be Better** - Detection improvements - Response time improvements - Communication gaps - Tooling and process improvements 6. **Action Items** - Immediate fixes (done) - Short-term improvements (next sprint) - Long-term improvements (roadmap) - Assign owners and timelines 7. **Follow-Up** - Document lessons learned - Share with broader team - Update runbooks and playbooks - Schedule progress review Create a blameless post-mortem that drives improvement. --- *This prompt is part of the Engify.ai research-based prompt library. Customize it for your specific context and needs.*
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