Pre-Mortem
Imagine the project failed; explain why.
"Easier to predict failure than success — and far more useful."
What is Pre-Mortem? Imagine the project failed; explain why. Reduces planning fallacy and groupthink.
Capital decisions stress-tested before commit.
Reduces planning fallacy and groupthink.
Run on every major commitment as standard process.
Use the model. Pick the move.
Imagine the project failed; explain why. You've just seen this: Capital decisions stress-tested before commit. Which lever does the model recommend?
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to Pre-Mortem
One tap. We'll point you at the most useful next surface based on how this hits.
The full taxonomy entry
Every concept in the Atlas uses the same structure — so Pre-Mortem can be compared, recombined, and cited like an element on a periodic table.
- Business
- Leadership
- Government
- Healthcare
- Education
- Sales
- Marketing
- AI
- Negotiation
- Media
- Public Policy
- Relationships
- Where in our org would Pre-Mortem most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Pre-Mortem?
- If we removed every payoff for Pre-Mortem, what behavior would replace it?
- Who benefits when Pre-Mortem persists — and who pays the cost?
- People defend the status quo using the language of pre-mortem.
- Decisions cluster around the easiest narrative rather than the strongest evidence.
- New data changes the slide deck but not the decision.
- Anyone naming the pattern is treated as the problem.
Every Atlas entry is a node in a knowledge graph. See the related rail below to follow the connections.
See Pre-Mortem through 4 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
- Layer 2Behavioral Economics
Which biases are most likely operating right now?
- Layer 9Persuasion & Behavior Design
What is making this behavior easier than the alternative?
- Layer 15AI & Alignment
What proxy reward is the AI optimizing — and what is it ignoring?
- Layer 21Mental Models & Mastery
Which model — or stack of models — are we missing here?
Do you actually know Pre-Mortem?
Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.
Which best describes Pre-Mortem?
Worked example, counter-example & concept map
On-demand AI analysis grounded in the Lab's research. Cached on your device after first run.
When you encounter Pre-Mortem, your prefrontal cortex has to do extra work to override the automatic response — and that override budget is finite.
Executive control, planning, impulse override, working memory, System 2. First thing to go offline under stress, fatigue, or low blood sugar. Why your 4pm decisions are worse than your 9am ones.
See Prefrontal in the Brain Atlas →Picked for you, from the Atlas
Ranked by shared learning paths, overlapping chips, and what you've saved.
How will I feel about this in 10 minutes / 10 months / 10 years?
Inattention or forgetfulness caused by low attention, hyperfocus, or distraction.
Predicting how we will feel in the future, usually inaccurately.
Forgetting to compare an offer with the next-best alternative.
Outcomes that could have happened but did not.
Overthinking a situation so that decision-making stalls.
Send the card, not just the link
A pre-rendered social card with the title, eyebrow, and URL. Copy the link, post it anywhere, or download the SVG for slides.
More definitions to follow
Every term in the Atlas connects to a dozen others. Pick any of these and see where it takes you.
Specialists earn more for procedures than primary care for prevention.
Pre-deployment analysis of who loses what.
Manager calibration produces predictable distortions over years.
Mandating pre-funding of unborn retirees' health benefits engineered artificial insolvency.
Cumulative physiological wear from chronic stress.
Systematic skew in model behavior across groups.
Employers screen by school name, rewarding admission rather than developed skill.
Whatever is pre-selected wins more often than it should.
Penalizing landowners for hosting endangered species turns biological assets into liabilities.
What people expect of themselves shapes what they achieve.
Distaste for unequal payoffs — including when we'd benefit.
Contrast vivid future success with concrete present obstacles to drive action.