A hypothesis is a testable assumption about users, problems, or solutions that is explicitly formulated before every experiment. It transforms vague beliefs into verifiable statements. This is the decisive step: as long as assumptions remain implicit, they can be neither confirmed nor refuted — and the team is flying blind.
The standard structure is: “We believe that [X] because [Y]. We test this through [Z].” A concrete example: “We believe that users are willing to pay for feature X because they described the problem as severe in interviews. We test this through a landing page with a pre-order option and measure whether at least three percent of visitors order.” This formulation makes clear what is being tested, why the assumption is plausible, and how success is measured.
The principle comes from the scientific method and was adapted for product development under uncertainty. The critical point is to establish success criteria before the experiment — otherwise, there is a risk of reinterpreting results to fit after the fact.
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