Which of the following best describes the role of boundary conditions in the lean startup methodology?

Boundary conditions in the lean startup method set the limits for each experiment, telling you where and when a hypothesis can be tested and what counts as a valid result. They help you decide the exact context—such as a particular customer segment, geographic region, or time period—so that your test stays realistic and actionable. By defining these limits, you avoid overgeneralizing a small result into a universal truth, which keeps your learning focused and accurate. For example, if you test a new payment feature only with users in California who have a credit card, you know the findings apply only to that group until you expand the boundary. This clarity lets you iterate quickly while staying honest about what your data actually says.