Assumption Stress Test
Identify which assumptions a decision depends on, then ask what happens if each one turns out to be false.
Before committing to a plan whose outcome depends on several beliefs being true at once.
Reusable thinking tools for testing assumptions, evidence, and risk. Each one is small enough to use in the moment, and structured enough to survive contact with a real decision.
Identify which assumptions a decision depends on, then ask what happens if each one turns out to be false.
Before committing to a plan whose outcome depends on several beliefs being true at once.
A short evaluation pass for AI-generated output: what is being claimed, what would prove it wrong, and what you've actually verified.
Any time model output is about to influence a real decision, message, or artifact.
Count the load-bearing beliefs in a plan. The more that must hold simultaneously, the more fragile the decision.
When choosing between a complex plan with many dependencies and a simpler one with fewer.
Trace each claim back to its source. Mark links as direct evidence, inference, or assertion — and find the weakest link.
When a conclusion feels strong but you can't immediately say why you believe it.
Assume the decision has already failed. Write the three most plausible reasons why — before you commit, not after.
At the moment of commitment, when momentum is high and skepticism is low.