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Template • 5 sections

Incident Postmortem Template for Engineering Teams (2026)

Every production incident is an opportunity to make your system more resilient — but only if you conduct a thorough, blameless postmortem. This template walks you through a structured review: what happened, why it happened, how you detected and resolved it, and what you'll do to prevent recurrence. The emphasis is blameless: we focus on systems and processes, not individuals. A well-written postmortem improves your team's MTTR, reduces change failure rate, and builds a knowledge base that prevents the same failure from happening twice.

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When to use this template

Conduct a postmortem for every Sev-1 and Sev-2 incident within 48 hours of resolution. For Sev-3 incidents, use the abbreviated version. Schedule a 30-60 minute meeting with all involved responders, write the postmortem collaboratively, and share it with the broader engineering org.

5 sections

Template Variations

Pick the format that fits your context.

Incident Summary

A quick overview that anyone in the company can understand. Write this for the VP of Engineering or CTO who has 2 minutes to scan the document.

Template
# Postmortem: [Brief Incident Title]

**Date:** [YYYY-MM-DD]
**Severity:** Sev-[1/2/3]
**Duration:** [X hours Y minutes] (detected to resolved)
**Impact:** [Who was affected and how — e.g., '15% of API requests returned 500 errors for 45 minutes']
**Root Cause:** [One sentence — e.g., 'A database migration added a NOT NULL column without a default value, causing INSERT failures']
**Status:** Resolved / Monitoring / Action items pending
Quantify impact: number of affected users, error rate percentage, revenue impact if applicableKeep root cause to one sentence here — the detailed analysis goes in its own sectionInclude severity level so leadership can triage which postmortems to read

Timeline

A chronological log of events from the first sign of trouble to full resolution. Use UTC timestamps for distributed teams.

Template
## Timeline (all times UTC)

| Time | Event |
|------|-------|
| 14:32 | Deploy #1234 goes to production |
| 14:35 | Error rate alert fires in #alerts (PagerDuty incident created) |
| 14:38 | On-call engineer [name] acknowledges alert, begins investigation |
| 14:45 | Root cause identified: database migration failing on INSERT |
| 14:48 | Decision made to roll back deployment |
| 14:52 | Rollback deployed, error rate returns to baseline |
| 14:55 | All-clear posted in #incidents, PagerDuty resolved |
| 15:30 | Fix PR opened with default value for the new column |
| 16:10 | Fix deployed and verified in production |
Include EVERY significant event, even ones that seem minor — they help reconstruct decision-makingNote who did what — this isn't for blame, it's for understanding the response flowHighlight the detection gap: time between deploy and alert can reveal monitoring gaps

Root Cause Analysis

A deep dive into WHY the incident happened. Use the '5 Whys' technique to get past surface causes.

Template
## Root Cause Analysis

**Direct Cause:** [What directly triggered the incident]

**Contributing Factors:**
1. [First contributing factor]
2. [Second contributing factor]
3. [Third contributing factor]

**5 Whys:**
1. Why did production fail? → [The migration added a NOT NULL column without a default]
2. Why wasn't this caught in testing? → [Our staging DB had no existing rows, so the migration succeeded]
3. Why didn't CI catch it? → [We don't run migration tests against populated databases]
4. Why not? → [Migration testing was never added to our CI pipeline]
5. Why not? → [We haven't had a migration-related incident before — it wasn't prioritized]

**Systemic Issue:** [The underlying process/system gap — e.g., 'No automated testing of database migrations against production-like data']
Focus on SYSTEMS, not people. 'The code review didn't catch this' → 'Our review checklist doesn't include migration impact analysis'List all contributing factors, not just the trigger. Most incidents have 2-4 contributing factorsThe 5 Whys should lead to a systemic issue, not a person

Action Items

Specific, assigned actions to prevent recurrence. Each action item needs an owner and a deadline.

Template
## Action Items

| Priority | Action | Owner | Deadline | Status |
|----------|--------|-------|----------|--------|
| P0 | Add migration testing against seeded DB to CI pipeline | [Name] | [Date] | 🔴 Not started |
| P0 | Add NOT NULL migration lint rule to pre-commit hooks | [Name] | [Date] | 🔴 Not started |
| P1 | Create runbook for database migration rollback | [Name] | [Date] | 🔴 Not started |
| P1 | Add staging environment with production-like data volume | [Name] | [Date] | 🟡 In progress |
| P2 | Tighten error rate alert threshold from 5% to 2% | [Name] | [Date] | 🔴 Not started |
Every action item MUST have an owner and a deadline — unowned items never get donePrioritize: P0 = must fix before next deploy, P1 = fix within 1 week, P2 = fix within 1 monthLimit to 5-7 action items. If you have more, you're trying to fix too much at onceReview action item status in your next team meeting

Lessons Learned

Capture what went well, what went poorly, and what surprised the team. This section is the most valuable part of the postmortem for organizational learning.

Template
## Lessons Learned

**What went well:**
- [e.g., Alert fired within 3 minutes of the deploy — monitoring is working]
- [e.g., Rollback was executed in under 5 minutes — deployment pipeline is solid]

**What went poorly:**
- [e.g., It took 10 minutes to identify root cause because migration logs weren't in our centralized logging]
- [e.g., Staging didn't catch the issue because it has no data]

**Where we got lucky:**
- [e.g., The deploy happened at 2pm, not during peak traffic at 10am — impact would have been 5x worse]

**Surprises:**
- [e.g., We didn't know that NOT NULL without a default fails on INSERT, not on the migration itself]
Be honest in 'what went poorly' — this is where the real improvements come from'Where we got lucky' highlights risks that didn't materialize THIS time but could next timeEncourage everyone involved to contribute — different perspectives catch different insights
Pro Tips

Expert advice

1

Conduct the postmortem within 48 hours while memories are fresh — longer delays mean lost details

2

Start every postmortem by stating: 'This is a blameless review. We focus on systems, not individuals.'

3

Share postmortems org-wide — other teams learn from your incidents and may prevent similar ones

4

Track action item completion rate — postmortems without follow-through are theater

5

Keep a searchable postmortem archive (Notion, Confluence, Google Drive) — before debugging a new incident, search past postmortems for similar symptoms

FAQ

Common questions

Who should attend the postmortem meeting?

Everyone who responded to the incident, the on-call engineer, the person who deployed the change, and the engineering manager. Optionally: affected team leads and a product manager if there was customer impact. Keep it to 4-8 people for a productive discussion.

What does 'blameless' actually mean?

It means we assume everyone acted with the best information they had at the time. Instead of 'Sarah should have tested the migration,' we ask 'Why didn't our process catch this before production?' The goal is to fix the system so no individual is relied upon to be the safety net.

How long should a postmortem meeting take?

30-60 minutes for most incidents. If you need more than an hour, the incident was complex enough to warrant splitting the postmortem into two sessions: one for timeline reconstruction and root cause analysis, one for action items and lessons learned.

Should every incident get a postmortem?

Every Sev-1 and Sev-2 must get a full postmortem. Sev-3 incidents should get at least an abbreviated postmortem. Near-misses (things that almost caused an incident) are worth documenting too — they reveal the same systemic issues without the pressure of an active incident.

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