A start-up's product owner wants to know whether small clinics will pay for an appointment-reminder service before the team invests months in a full product. Which approach best fits that goal?
Choose one.
A minimum viable product (MVP) is the smallest thing you can put in front of real customers to learn whether a key assumption holds, such as willingness to pay.
The question is whether clinics will pay, and the product owner wants an answer before a large investment. An MVP released to a few clinics tests that directly with real behaviour. Building everything first delays the learning; a survey and a business case produce opinions and estimates rather than evidence of paying customers.
- Identify the uncertainty: will clinics pay?
- Note the constraint: learn before investing months.
- Pick the option that puts something real in front of clinics early.
- Reject options that rely on opinions or delay learning.
Exam tip: Validate market need with something real users can use or buy, as early and cheaply as possible.
PMI-ACP Experiment Early: MVPs, Spikes, Hypotheses and a Culture of Innovation — the lesson that teaches this.