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Decision Pre-Mortem

Before you commit, it surfaces the assumptions you're betting on and what would sink the plan, then returns a Go, Hold, or Go-with-conditions verdict.

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Quick answer

01What it does

Assumes the decision has already failed and works backward to the most plausible reasons, using Gary Klein's pre-mortem method.

02What you give it

A memo, proposal, or plan, or a few paragraphs on the call if nothing is written yet, plus the model or deal terms behind it if you have them.

03What you get back

The assumptions the plan rests on, the two or three failure stories most likely to happen, the questions nobody has asked, and a Go, Hold, or Go-with-conditions verdict.

Say this to run it

  • “Run a pre-mortem”
  • “Pre-mortem this”
  • “What could go wrong with this plan?”
  • “Pressure-test this decision”
  • “Should we do this?”
  • “What am I missing here?”

Add it to Claude

  1. 01

    Download the file

    decision-pre-mortem.skill, 13 KB

  2. 02

    Add it in Claude

    Customize › Skills › Add, then upload the file.

  3. 03

    Attach the plan and ask

    “Run a pre-mortem on this.”

What you get back

This is the format every run returns, from the skill's own template.

Output · references/output-template.md

Pre-Mortem Verdict — Output Format

Always produce the output in exactly this structure and order. The consistency is the point: a decision reviewed twice — before and after changes — should yield two verdicts you can directly compare.


🎯 Decision Pre-Mortem

Decision: {one line — what's being decided, and the stated deadline} Overall verdict: {one of — 🟢 Go · 🟡 Go with conditions · 🔴 Hold} — followed by one sentence of rationale.


Assumptions this plan is standing on

AssumptionTypeLoad-bearing?Note
{assumption}{Explicit / Implicit}{Yes / No}{one line — where it shows up in the plan, or that it's unstated}

List every assumption found in step 1, in the order of how much weight they're carrying. Load-bearing implicit assumptions belong at the top.


If this fails, here's why — a year from now

For each of the 2-3 most plausible failure stories:

{Failure story title, stated plainly}

  • What happened: {the concrete failure}
  • Why it was plausible: {which assumption broke, and why it was fragile}
  • Early warning sign: {what you'd see 60-90 days in}
  • Likelihood / damage: {High / Medium / Low each}

If the decision is genuinely low-risk, two Low-likelihood / Low-damage stories are a valid result — do not manufacture risk to fill the section.


The questions nobody's asked

Run all five. Mark each as Answered (with the plan's answer) or Unanswered (flagged as a real gap).

  • Reversibility — {answer, or "Unanswered — no exit terms stated"}
  • Base rate — {answer, or "Unanswered — no comparable referenced"}
  • Capacity — {answer, or "Unanswered — execution owner not named"}
  • Dependency — {answer, or "Unanswered — depends on X, not confirmed"}
  • Opportunity cost — {answer, or "Unanswered — not addressed in the plan"}

🔧 What would move this to a Go

Only if the verdict isn't a clean Go. A numbered list, in priority order — the specific conditions, information, or changes that would resolve the biggest risks above.

  1. {…}
  2. {…}
  3. {…}

Re-run this after the plan changes — same framework, so you can see exactly what got resolved and what didn't.

Only if the verdict isn't a clean Go, add: Want help drafting the missing pieces above?

Inside the skill

Four plain-text files you can read before you install.

references/methodology.md
# Pre-Mortem Methodology

Apply all three parts below, in order, to every decision. This is the
skill's core expertise — the reason a pre-mortem run through this framework
is worth more than "what could go wrong?" typed into a chat window.

## 1. Assumption extraction

Every plan is a tower of assumptions, most of them never written down. Find
them before you test them.

- **Explicit assumptions** — stated directly in the plan ("we'll hire 8
  people," "the lease is 3 years"). Easy to find; extract them first.
- **Implicit assumptions** — never stated, but required for the plan to
  work as described. The most common ones to hunt for:
  - **Ramp/productivity assumptions** — does the plan assume people, deals,
    or systems perform at full capacity immediately, with no ramp?
  - **Timing assumptions** — does the plan assume things happen in parallel
    that usually happen in sequence (hiring while leasing while onboarding)?
  - **Capacity assumptions** — does the plan assume the team executing it
    has slack, when they may not?
  - **Causal assumptions** — does the plan assume X causes Y (presence
    causes close rate, price causes churn) without evidence, just narrative?
- **Load-bearing vs. decorative** — for each assumption, ask: if this turns
  out false, does the plan fail, or does it just look a little different?
  Load-bearing assumptions are where the pre-mortem in step 2 should focus.
  Decorative ones can be noted and set aside.

## 2. Prospective hindsight (the pre-mortem proper)

From Gary Klein, "Performing a Project Premortem" (*Harvard Business
Review*, September 2007). The technique: **assume the decision has already
failed**, a year from now, and work backward to explain why. This works
because it's much easier to generate honest reasons for a failure everyone
is imagining together than to raise doubts about a plan people have already
committed to.

- Generate **the two or three most plausible failure stories** — not a
  brainstormed list of every conceivable disaster. A pre-mortem that produces
  twenty far-fetched risks is as useless as one that produces zero. Anchor
  each story in a load-bearing assumption from step 1.
- For each failure story, state:
  - **What happened** — the concrete way it went wrong.
  - **Why it was plausible** — which assumption broke, and why that
    assumption was fragile in the first place.
  - **The early warning sign** — what you'd have seen 60-90 days in, if this
    was happening, before it became irreversible.
- Rank the failure stories by a combination of **likelihood** and
  **damage if it happens**. A likely-but-survivable outcome and a
  rare-but-fatal one both deserve a line; a rare-and-survivable one usually
  doesn't make the list.

## 3. The five unasked questions

Most planning documents implicitly answer "does the math work?" and stop.
Run every decision through these five questions. If the plan already
answers one, say so. If it doesn't, that silence is itself a finding.

1. **Reversibility** — If this goes wrong, how do we undo it, and what does
   undoing it cost? A decision with a cheap exit deserves a lighter pre-mortem
   than one that's a one-way door.
2. **Base rate** — How often do plans that look like this one actually hit
   their stated numbers, in general? A plan can be well-reasoned and still be
   fighting a bad base rate.
3. **Capacity** — Do the people expected to execute this have the actual
   time and attention to do it well, on top of what they're already doing?
   Budget approval is not capacity.
4. **Dependency** — What does this decision quietly assume will also be true
   somewhere else in the business (another team's hiring, another system's
   readiness, a customer's behavior) that nobody has actually confirmed?
5. **Opportunity cost** — What does saying yes to this mean saying no to?
   Every commitment of money, time, or people is a decision not to spend
   those things elsewhere.

## Calibration

- Do not manufacture risk where none is plausible. A well-scoped, reversible,
  well-capitalized decision can and should score close to a clean Go.
- Do not soften a real finding to be polite. The value of this skill is
  catching the blind spot while it's still cheap to fix — that only works if
  the findings are honest.
- Always tie findings back to a specific line, number, or sentence in the
  plan. A pre-mortem finding with no anchor in the actual document is a
  generic opinion, not a review.

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