Leading Practices:
Frame assumptions as testable beliefs, not general risks: Write assumptions as clear statements that can be proven right or wrong.
Separate importance from ease of testing: High-impact, hard-to-test assumptions demand special attention—not avoidance.
Use ranking to decide what must be learned before advancing: The output should prioritize guide what rapid experiments need to be crafted and why.
