Categorise Readiness Inputs into Evidence and Assumptions
Systematically audit every data point driving the readiness score, separating verified market signals from unverified hypotheses. The founder places each element into an evidence matrix classified by proof strength, ranging from signed letters of intent to unvalidated founder belief.
Completing this action eliminates false confidence by ruthlessly exposing blind spots and unverified entry premises. It protects venture capital and resources by ensuring expansion decisions are anchored in market proof rather than wishful thinking.
A detailed Signal vs Assumption Matrix mapping every dimension of entry readiness to verified proof sources or tagged assumptions. The founder must provide primary documentation for all items classified as evidence-backed signals.
Five questions an expert would ask when reviewing your output
Use these to challenge assumptions, pressure-test your logic, and check the quality of this action's output in the context of the parent task and wider venture development.
- 1
Which data points currently categorised as evidence actually rely on non-binding conversations or casual feedback?
- 2
How many of your assumptions regarding local customer acquisition costs are backed by live market testing rather than desk research?
- 3
What critical assumptions regarding partner lead-generation capabilities remain unverified by third-party data?
- 4
Why have you classified your local regulatory strategy as proven when formal legal counsel has not signed off?
- 5
What is the single highest-risk assumption in your model, and what specific test will prove or disprove it?