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A minimum viable product (MVP) is the simplest version of a product, service, or offer that lets you test one important assumption with real customers and learn from what they do. What defines it is the learning it produces, not how small it is. For a reader weighing a side business or a new income idea, that distinction matters: an MVP is a way to find out whether anyone will act on the idea before you commit savings, time, or borrowed money to it.
How Eric Ries defines an MVP
Eric Ries, author of The Lean Startup, defines the minimum viable product as “that version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort”. Two phrases do the work. “Validated learning” means the test has to answer a question with evidence. “Least effort” means the test is kept cheap enough to run before you have spent heavily.
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Ries also says the right form is not a fixed template. It depends on context, and the response from customers decides whether you have learned enough or need another iteration. He puts the point bluntly: “MVP, despite the name, is not about creating minimal products.”
Strategyzer, the business-model consultancy, describes an MVP as an artifact or representation of a value proposition designed to test one or more critical hypotheses about the business model. Agile Alliance makes the same point from the software side: an MVP is about learning whether customers will actually purchase or use the offer.
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The common mistake, according to Agile Alliance’s glossary entry on the MVP, is to focus on the smallest possible set of features while forgetting to learn whether the business is viable. The same entry warns that inadequate quality can prevent an accurate assessment. If a test fails because it was broken, unclear, or too rough to be taken seriously, you have learned about the execution, not about the idea.
Strategyzer’s article “Don’t Build When You Build-Measure-Learn,” by Benson Garner and dated May 6, 2016, quotes Ries on this point: “It is not necessarily the smallest product imaginable…it is simply the fastest way to get through the Build-Measure-Learn feedback loop with the minimum amount of effort.” The goal is speed through the learning loop at low cost, which is not the same as minimal features.
MVP, prototype, demo, and marketable product
These four terms are used loosely, and organizations do not agree on their definitions. The table below follows Microsoft for Startups’ guide to the minimum viable product, which draws the lines by purpose.
| Term | Main purpose | What it establishes |
|---|---|---|
| Prototype | An exploratory tool for technical feasibility or design response | Whether something can be built or how it might work |
| Demo | A controlled presentation | How the offer looks or behaves when shown to an audience |
| MVP | A focused product that supports real users and gathers real data | How real users respond to the core offer |
| Minimum marketable product | A more polished offer intended to compete in its category | Whether the offer can hold its own in the market |
Agile Alliance frames the difference as learning versus earning: an MVP is built to learn, while a marketable product is built to earn. If someone uses a different label, check what the label is supposed to prove.
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How to design an MVP test
Strategyzer recommends planning backward from the learning goal to the measurement and only then to what should be built. The build step does not have to mean a complete software product. In practice the order looks like this:
- Name the riskiest assumption. For example, “people in my area will pay for this service at this price.”
- Decide what behavior would support or contradict it. A signup, a deposit, a repeat booking, or a refusal to pay are all observable behaviors. Opinions in a survey are weaker evidence.
- Choose the measurement. Count the thing you will watch, and set the threshold for success before you run the test.
- Pick the lowest-effort format that can generate that evidence. Build only what that measurement requires.
Formats Strategyzer lists as MVPs
- A data sheet or brochure describing the offer
- A storyboard showing how the offer works
- A landing page with a clear call to action
- A product-box mock-up for a physical offer
- An explanatory video
- A learning prototype
- A Wizard of Oz experiment, in which the front end looks automated while people perform the back-end work by hand
Agile Alliance gives similar examples, including a landing page or a service that appears automated but is delivered manually. A manual service is often the cheapest way to test demand for a process you have not yet automated.
Comparing candidate formats
When you have several options, compare them on five questions:
- Which assumption does it test? A format that cannot speak to your riskiest assumption is decoration, however good it looks.
- How closely does it observe real behavior? Watching someone click, pay, or return is stronger than asking what they would do.
- Is the result measurable and interpretable? If you cannot say what a positive or negative result means, the test will not change your decision.
- What effort and time does it require? Count your own hours and any money spent.
- Is its quality good enough to avoid a misleading result? A rough test can make a good idea look bad.
What to measure
Microsoft for Startups lists activation, retention, and conversion as metrics that can show whether users complete a core journey, come back, or move to paid use. Its guide also describes feasibility, technical scalability, and market demand as validation dimensions. These are examples rather than required metrics. Pick the measures that test the hypothesis you actually care about, and do not borrow a dashboard from someone else’s product.
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Microsoft’s guide includes a hypothetical case: a two-person startup builds a single workflow tool for client reporting, with authentication, data handling, and logging, in order to validate demand. The case is illustrative and is not presented as a documented company result. Notice what it is designed to answer. The question is whether clients want the reporting workflow enough to use it, not whether the tool is feature-complete. A landing page or a manual version of the reports could test the same assumption at a fraction of the build cost.
What Ries’s personal examples do and do not show
In his article, Ries describes his own experience. IMVU’s original MVP took six months, compared with almost five years at a previous company before launch, and he recalls spending two weeks on a feature nobody wanted. These are personal anecdotes from one founder’s career. They illustrate the cost of building before learning, but they are not benchmarks for how long an MVP should take.
Applying the idea to a personal money decision
An MVP test is most useful when a mistake would be expensive. Before quitting a job, buying inventory, signing a lease for a studio, or building software, you can run a cheaper version first. A priced landing page with a signup button, a service you deliver by hand for a few paying clients, or a short video explaining the offer can each show whether people respond.
Ries and Agile Alliance both point to the same decision after the test: iterate, expand, pivot, or stop, guided by customer behavior. Read a result as evidence about one assumption. The sources do not give success rates for MVPs, so a small test is not a forecast of income, and it does not replace a realistic budget that covers the costs you have not tested.
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Further reading
Agile Alliance lists The Lean Startup: How Today’s Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses by Eric Ries as further reading. Strategyzer’s vocabulary glossary points to Value Proposition Design for readers who want to go deeper on value propositions.
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