
Andrea Marchiotto
AI Venture Lead, Founder @ BlackCube Labs
This framework gives AI Product Managers a structured, repeatable process for investigating a specific product area, forming a testable hypothesis, and designing a minimum experiment to validate or kill it, before committing engineering resources.
It is built around one belief: the most expensive thing a product team can do is build the wrong thing with conviction.
Use this framework:
When scoping a new feature or product initiative from scratch
When investigating why a metric is underperforming
When pressure-testing an assumption before it becomes a roadmap commitment
When onboarding to a new product and needing to develop a point of view fast
Free
This framework provides AI Product Managers a repeatable process to test hypotheses before committing resources.