Postmortem Template for Notion (Free)
A good postmortem is blameless, thorough, and leads to concrete action items. This Notion template structures the process so teams focus on learning rather than finger-pointing. The database format makes it easy to track patterns across incidents.
Create a Postmortem database in Notion with this template so you can search, filter, and identify recurring themes across all past incidents.
Template sections
5 sections covering the complete postmortem workflow.
Incident Overview
Start with the facts: incident date and time, duration, severity level (P0-P3), number of users affected, and financial impact if measurable. Include a one-sentence summary that captures the essence: "API gateway certificate expired, causing 100% API failure for 47 minutes."
Timeline
Reconstruct the incident minute by minute. Use Notion's timeline or table format: Timestamp, Event, Who Noticed, Action Taken. Start from the first sign of trouble through detection, response, mitigation, and resolution. Include timestamps in UTC for cross-timezone clarity.
Root Cause Analysis
Use the "5 Whys" technique: ask "why?" five times to move from symptoms to root causes. Document each level. The root cause is rarely "someone made a mistake." It is usually a process, tool, or system gap that allowed the mistake to have an impact.
Impact Assessment
Document the full impact: users affected (count and percentage), revenue impact, SLA implications, customer support tickets generated, and brand/trust impact. Quantify wherever possible. This data justifies investment in prevention.
Action Items
Every postmortem must produce action items with owners and deadlines. Categorize: Immediate (this sprint), Short-term (this quarter), Long-term (backlog). Each item should prevent either this specific incident or this category of incident from recurring. Track action item completion in the Notion database.
Copy-paste template
# Incident Postmortem — [Incident Title] ## Overview - **Date:** [Date] - **Duration:** [HH:MM] - **Severity:** [P0/P1/P2/P3] - **Users Affected:** [Number] - **Summary:** [One-sentence description] ## Timeline (UTC) | Time | Event | Who | Action | |---|---|---|---| | [HH:MM] | [First alert] | [Name] | [Investigated] | | [HH:MM] | [Root cause identified] | [Name] | [Applied fix] | | [HH:MM] | [Service restored] | [Name] | [Verified] | ## Root Cause: 5 Whys 1. Why did [symptom]? Because [cause 1] 2. Why did [cause 1]? Because [cause 2] 3. Why did [cause 2]? Because [cause 3] 4. Why did [cause 3]? Because [cause 4] 5. Why did [cause 4]? Because [root cause] ## Impact - Users affected: [N] ([%] of total) - Revenue impact: [$] - SLA status: [Met/Breached] - Support tickets: [N] ## Action Items | Action | Owner | Priority | Deadline | Status | |---|---|---|---|---| | [Prevention measure] | [Name] | Immediate | [Date] | Open |
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