Lean Startup
Lean Startup: from a hypothesis to a measurable experiment
Prepared by: MethodExpert AI
Content updated: · Sources checked:
Lean Startup is an approach to developing ventures under uncertainty through experiments and validated learning. The build, measure, learn loop connects what you try, what you observe and the decision you make next.
Start with a testable question
Choose a specific audience and one problem. Replace “everyone needs our app” with an expected, observable behavior. Separate what someone says they like from what they actually do.
What is an MVP?
A minimum viable product helps test a hypothesis with effort suited to the learning needed. It is neither a universal feature checklist nor a promise of final quality. First define what you want to learn, then choose an experiment that can provide evidence.
Teaching example: organizing shop orders
This is a fictional example. A team wants to learn whether a shop owner will use one order register instead of scattered messages. It could trial a manual register with a willing owner, observe difficulties and see whether the owner returns to it. One trial does not establish demand across a market.
A worksheet before building the app
Record the audience, observed problem, hypothesis, experiment, measure and limits of the data. Decide in advance what observation would support continuing or changing direction. Keep observations that contradict your expectations and circumstances that might explain the result. Avoid collecting unnecessary personal data.
Deciding after the experiment
Compare the result with the original hypothesis. If your understanding of the problem changes, adjust one hypothesis at a time where possible so you can interpret differences. Distinguish poor execution of an experiment from lack of need. Document remaining uncertainty before investing more time.
Lean Startup and the business plan
Experiments can examine a plan’s assumptions and inform revisions. A plan organizes the venture and its resources; an experiment tests an uncertain point. A polished document does not replace checking whether a need exists.
Related questions
Is enthusiasm for an idea enough?
It is initial information. Add an observation of behavior related to the problem, such as trying the service or returning to it, and state the limits of your conclusion.
What should I prepare before using a platform?
Write one hypothesis and gather the evidence you have. Use the tool to organize that work, then review its assumptions and outputs.