A hypothesis in the Lean Startup context is a testable assumption about customers, markets, or business models. It makes implicit knowledge explicit and therefore testable. Without clearly formulated hypotheses, teams operate on the basis of assumptions that are never questioned — and potentially invest months heading in the wrong direction.
A good hypothesis follows a clear structure: “We believe that [target group] [exhibits behavior] because [reason]. We test this through [method] and measure [metric].” Example: “We believe that freelancers are willing to pay 15 euros per month for automated invoicing. We test this through a landing page with pricing and measure the conversion rate on pre-orders.” This structure forces teams to define both the assumption and the path to verification upfront.
The concept of hypothesis in product development connects the scientific method with entrepreneurial action under uncertainty. The most common mistake: formulating hypotheses so vaguely that they can be neither confirmed nor refuted.
Apply methods, don't just know them. View trainings and workshops
