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Incident Postmortem Generator

Turn an incident's impact, timeline, root cause and action items into a clean, blameless postmortem in copyable markdown.

Incident

Completeness

100%
  • Title
  • Impact summary
  • Timeline (2+ entries)
  • Root cause
  • What went well
  • Action items

Illustrative score - an editable checklist, not a grade. Fill each section for a complete blameless postmortem.

Postmortem · 236 words

# Postmortem: Checkout API elevated 5xx errors

**Severity:** SEV2

> This is a blameless postmortem. The goal is to understand what happened and make the system safer - not to assign blame to any person.

## Impact
Roughly 8% of checkout requests returned 500 errors for 34 minutes. Some customers saw failed payments and had to retry. No data was lost.

## Timeline
| Time | Event |
| --- | --- |
| 14:02 | Deploy of config change #4821 completes |
| 14:05 | Error-rate alert fires in #incidents |
| 14:11 | On-call declares incident, starts investigation |
| 14:29 | Root cause identified: connection pool exhausted |
| 14:36 | Rollback deployed, error rate returns to baseline |

## Root cause
A deploy shipped a config change that lowered the database connection pool size below peak demand. Under load, requests queued past the timeout and failed.

## What went well
- Alerting fired within 90 seconds
- On-call had a clean runbook and rolled back fast
- No customer data was corrupted

## Action items
| Action | Owner | Type |
| --- | --- | --- |
| Add a load test that exercises peak connection demand before deploy | Platform | Prevent |
| Alert when pool utilization exceeds 80% | Observability | Detect |
| Document safe connection-pool sizing in the deploy checklist | Platform | Mitigate |

Blameless postmortems that make the system safer

A postmortem is how a team converts an incident into durable learning. The blameless version assumes everyone acted reasonably given what they knew, and points the analysis at the system and process instead of individuals. That shift is what gets people to share the full, honest timeline - the raw material every good fix depends on.

A strong document has five parts: the impact (who and what was affected), a factual timeline, the root cause behind the trigger, what went well, and a set of owned action items typed as prevent, detect, or mitigate. This generator assembles all of that into clean markdown you can paste straight into a ticket, wiki, or pull request - deterministic, local, and easy to edit.

Postmortems only pay off when their actions actually lower recovery time. Track that with our MTTR calculator, understand the wider picture in our guide to DORA metrics, benchmark reliability with the DORA metrics calculator, or see how outcome measurement closes the loop.

Frequently asked questions

A blameless postmortem focuses on how the system and process let a failure happen, not on who touched what. People act rationally given the information they had. The document names causes and fixes, never individuals to blame - that is what makes people comfortable sharing the full timeline.

Learn from incidents, then prove the fix worked

FeatureFactory helps engineering teams plan, build and measure AI web-development - so the action items from every postmortem show up as a real, measurable drop in recovery time.