Andromeda
Note

Post-Mortem

Definition

A post-mortem (or retrospective) is a structured review conducted after an event — success or failure — to extract lessons, identify root causes, and update systems so the same failure is less likely next time. It is the complement to a Pre-Mortem, which runs the same logic before commitment.

Why It Matters

Without post-mortems, organizations repeat mistakes while celebrating wins they cannot reproduce. The goal is not blame assignment but organizational learning: turning one-off incidents into durable improvements in process, training, and design. In high-performance cultures (Extreme Ownership, SpaceX-style failure analysis), post-mortems are a primary mechanism for compounding judgment.

Core Concepts

  • Blameless analysis: Focus on what in the system failed — training, clarity, resources, design — not who to punish. Blame cultures produce hidden failures; learning cultures surface them early.
  • Root cause vs. proximate cause: “The weld failed” is proximate; “We had no weld inspection standard under schedule pressure” is closer to root. Stop at proximate cause and the same mechanism lives on.
  • Five Whys: Repeatedly ask why until you hit a falsifiable system fix, not a person to fire. See First Principles Thinking and The Five Whys.
  • Action items with owners: A post-mortem without assigned mitigations is theater. Every finding needs an owner, deadline, and verification.
  • Cadence: Post-mortems belong in regular Communication in Management — after incidents, launches, quarters, and major decisions — not only after catastrophes.
  • Success post-mortems: Run them on wins too. What was luck vs. skill? What must be preserved?
  • Where it lives in the vault: After outcomes — complements step 3 of Difficult Decision Protocol, which runs before commitment. This note defines the tool; post-decision learning follows its own cadence via Communication in Management.

Pre-Mortem vs. Post-Mortem

Pre-mortemPost-mortem
WhenBefore commitmentAfter outcome
Question”It failed — why?""It happened — why?”
OutputMitigations, go/no-goSystem fixes, updated playbooks
Primary risk avoidedPreventable failureRepeated failure

Connected Concepts