| name | pre-mortem |
| description | Prospective hindsight — imagine the project already failed, then diagnose why. Surfaces hidden risks before commitment. |
| group | thinking |
| keywords | ["pre-mortem","risk","failure","retrospective","prospective","planning","stress-test"] |
| task_strategies | ["spike","investigation"] |
| stream_affinity | ["roadmap","research"] |
| allowed-tools | ["Read","Glob","Grep","AskUserQuestion"] |
| status | experimental |
| source | Gary Klein — Sources of Power (1999); Klein et al. — Performing a Project Premortem (HBR 2007) |
| acquired | 2026-06-15 |
Pre-Mortem
Imagine the project already failed. Now find out why.
Gary Klein's prospective hindsight technique — forces the brain into a different mode than optimistic planning. Retrospective analysis of a hypothetical failure produces 2× more failure causes than prospective analysis.
When to use
- Before committing to a plan, architecture, or major decision
- When the team is too confident or too aligned (groupthink risk)
- Before a launch, migration, or irreversible change
- When someone asks "what could go wrong?"
Step 1 — Set the scene
State the project, plan, or decision clearly. Then say:
"It is [6 months / 1 year] from now. We went ahead with this plan. It failed completely. What happened?"
If the subject is unclear, ask:
AskUserQuestion: "What plan or decision are we stress-testing?"
Step 2 — Generate failure causes
Spend 5–10 minutes generating every plausible failure cause without filtering. Use these lenses:
| Lens | Prompt |
|---|
| Technical | What broke, crashed, couldn't scale, or had a hidden bug? |
| Human/team | Who burned out, left, got blocked, or misunderstood? |
| Assumptions | Which assumption turned out to be completely wrong? |
| Dependencies | What external system, vendor, or partner let us down? |
| Market/context | What changed in the world that made this irrelevant? |
| Execution | What did we fail to actually do? Where did we slip? |
| Second-order | What succeeded but caused something else to fail? |
Output: a raw list, no evaluation yet.
Step 3 — Rank by impact × probability
Score each cause:
- Impact (1–3): How bad is this failure if it happens?
- Probability (1–3): How likely is it given our current plan?
Sort descending by impact × probability. Top 5 are the critical risks.
Step 4 — Write the obituary (optional, high-stakes decisions)
Write a one-paragraph "obituary" for the project as if a journalist wrote it. Forces narrative coherence — reveals the single storyline that connects the top failure causes.
Step 5 — Design preventions
For each top-ranked cause:
- What early warning signal would appear before this failure materializes?
- What specific change to the plan would prevent or reduce it?
- Who owns the monitoring?
Output format:
Risk: [cause]
Signal: [early warning]
Prevention: [plan change]
Owner: [role/person]
Step 6 — Decision
After working through the top risks:
**Pre-Mortem verdict for [project/decision]**
Critical risks: [top 2-3]
Plan changes recommended: [list]
Go/No-go: [proceed / modify / stop]
Notes
- Separate generation from evaluation — don't judge causes during Step 2
- Silent individual generation first, then share, reduces anchoring bias
- Even if no plan changes result, the exercise calibrates the team's risk model
- Pair with
/brana:inversion for maximum coverage (inversion finds what to avoid; pre-mortem finds what will go wrong)