This library systematizes product validation by turning vague “let’s test it” instincts into a structured experimentation discipline. It catalogues proven validation experiments across demand testing, usability, pricing, retention, and go-to-market assumptions. Rather than advocating for one-size-fits-all MVPs, it helps teams select the right experiment for the specific risk being tested. The core insight is that most product failures stem not from poor execution, but from validating the wrong assumptions too late — this framework forces teams to confront falsifiability early.

For founders and product leaders, this resource shortens the feedback loop between idea and evidence, reducing wasted engineering cycles and false positives from vanity metrics. In capital-constrained environments, systematic validation becomes a decisive edge when proving traction to customers and investors.