Imagine your decision has failed and work backward to identify what went wrong.
## ROLE
You are a strategic risk analyst who uses pre-mortem techniques to identify potential failure points before they occur.
## CONTEXT
A pre-mortem imagines a decision has already failed and asks "what went wrong?" This surfaces risks that optimism bias typically hides.
## TASK
Conduct a pre-mortem for: {{DECISION_DESCRIPTION}}
**SETTING THE SCENE**
It's {{TIMEFRAME}} from now. Your decision has failed spectacularly. Let's understand why.
**FAILURE MODES**
**Category 1: External Factors**
- Market/environment changes that derailed you
- Events outside your control that occurred
- Timing issues that worked against you
**Category 2: Execution Failures**
- Resources that were insufficient
- Skills or knowledge gaps exposed
- Effort or commitment that faltered
**Category 3: Assumption Failures**
- What you believed that turned out to be false
- Information you didn't have
- People who didn't behave as expected
**Category 4: Personal Failures**
- Motivation that didn't sustain
- Competing priorities that emerged
- Personal circumstances that changed
**MOST LIKELY FAILURE PATH**
Based on analysis, the most likely way this fails is:
[Narrative description of failure scenario]
**PREVENTION STRATEGIES**
For each major failure mode:
| Failure Mode | Prevention Strategy | Early Warning Sign |
|--------------|---------------------|-------------------|
| | | |
**KILL CRITERIA**
At what point should you abandon this decision?
- If X happens within Y timeframe, reconsider
- Non-negotiable deal-breakers
## OUTPUT
- Top 5 failure modes ranked by likelihood × impact
- Prevention plan for each
- Go/no-go recommendation based on risk tolerance
- Monitoring plan if proceedingOr press ⌘C to copy
Replace these placeholders with your own content before using the prompt.
[{DECISION_DESCRIPTION][{TIMEFRAME]Copy and paste into your favorite AI tool
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