MVP
MVP, or minimum viable product, is the simplest version of a product that includes only the core features needed to test a key hypothesis and get feedback from real users. The concept comes from the Lean Startup methodology, introduced by Eric Ries in 2011. The goal of an MVP isn’t a perfect product but learning from the market as quickly as possible at minimal cost.
An MVP solves the fundamental problem behind most failed projects—building something nobody wants. The data clearly shows why validation before full-scale development is critical:
- 42% of startups fail because they don’t address a real market need. CB Insights analyzed 101 post-mortems of failed startups and identified “no market need” as the most common reason for failure—ahead of running out of cash (29%) and having the wrong team (23%) (CB Insights – Top Reasons Startups Fail)
- 75% of venture-backed startups don’t return their investors’ money. Research by Shikhar Ghosh of Harvard Business School analyzed 2,000 companies that raised at least $1 million in funding between 2004 and 2010 and found that failure is the rule rather than the exception (Harvard Business School – The Venture Capital Secret)
- Validating demand can take hours, not months. In 1999, Zappos founder Nick Swinmurn photographed shoes at a local store, posted them on a website, and fulfilled orders by hand, buying the shoes at the brick-and-mortar store. This simple MVP proved that people wanted to buy shoes online—without investing a single dollar in inventory (Eric Ries – The Lean Startup, 2011)
- Dropbox gained 75,000 sign-ups overnight with just an explainer video. Instead of a finished product, the team recorded a three-minute demo and shared it on Digg and Hacker News. This “MVP without a product” validated market demand and helped secure funding from Y Combinator (Dropbox MVP Case Study)
The Lean Startup methodology puts the MVP at the center of the Build–Measure–Learn loop. Steve Blank, the creator of the Customer Development approach and Eric Ries’s mentor, sums it up clearly: startups fail because they build on hypotheses that don’t survive contact with the real market. An MVP is the tool that tests those hypotheses as early and as cheaply as possible.
FAQ
A prototype is mainly used for visualization and usability testing within the team or with a small group of users. An MVP goes further—it’s a working product (albeit a minimal one) that reaches real customers in a real market. As Y Combinator’s approach shows, an MVP should be something you can put in users’ hands within weeks, not months, and then measure their actual behavior (Y Combinator – How to Plan an MVP).
This is one of the most common concerns, but the data suggests otherwise. CB Insights’ research confirms that the biggest risk isn’t an imperfect product, but a product nobody needs. Reid Hoffman, co-founder of LinkedIn, put it in a famous quote: “If you are not embarrassed by the first version of your product, you’ve launched too late.” The key is to position your MVP as an early access version and actively collect feedback.
MVP success is measured against metrics defined in advance—so-called validation criteria. These can include the number of sign-ups, repeat usage, willingness to pay, or Net Promoter Score. Harvard Business School stresses that the definition of success must be specific and measurable before the MVP launches; otherwise you risk confirmation bias (HBS – Why Most Venture-Backed Companies Fail).
Sources:
- CB Insights – Top 12 Reasons Startups Fail – analysis of 101 post-mortems of failed startups, identifying 20 failure factors
- Harvard Business School – Shikhar Ghosh: The Venture Capital Secret – research on 2,000 venture-backed companies funded between 2004 and 2010
- Eric Ries – The Lean Startup: Principles – the original description of the Build-Measure-Learn methodology and the definition of an MVP
- Y Combinator – How to Plan an MVP – a practical framework for planning an MVP from the world’s leading accelerator



















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