validation-frameworks

Product validation requires converting assumptions into falsifiable hypotheses and testing them using the lowest-fidelity method available, such as customer interviews or landing page tests, to gather decisive evidence before full development.

Pricing validation is best achieved through pre-sales, landing page demand tests, or concierge MVP experiments, setting predefined success thresholds to determine if market willingness to pay meets your falsifiable criteria.

Problem validation interviews should gather evidence that a painful, worthwhile problem exists and is common enough to matter, documenting outcomes to decide whether to proceed, iterate, or pivot.

Use a wizard-of-oz test or concierge MVP for solution validation when you need to test whether users can succeed with a concept before coding a full system, ensuring you learn quickly while avoiding confirmation bias.

Yes, landing page tests serve as a low-fidelity method within the experiment spectrum to validate demand and market interest, providing decisive learning that guides whether to proceed with clickable prototypes or iterate.

MVP experiments require defining clear success criteria and falsifiable thresholds beforehand; without this structure, experiments risk yielding inconclusive learning or introducing confirmation bias into your product development decisions.