TL;DR:<\/strong><\/p>\n Visit FlowLab<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n A prototype is a representation of a product built to test design and usability before anything is market-ready, according to the overview of software prototyping<\/a>. It answers questions about desirability, usability and stakeholder alignment, not about revenue or sustained demand. The right fidelity depends entirely on what you are trying to learn.<\/p>\n Low-fidelity prototypes include paper sketches and basic wireframes. They are cheap, fast to change and good for testing whether a flow makes sense before anyone writes code. Mid-fidelity prototypes, such as clickable Figma flows, let you observe how someone actually navigates a screen sequence. High-fidelity prototypes, including wizard-of-Oz setups (where a human manually performs tasks the system will eventually automate) and semi-functional builds, are closer to the real product and better suited to usability testing with real tasks.<\/p>\n There is also a choice between throwaway and evolutionary prototypes. A throwaway prototype exists purely to answer a question and gets discarded once you have the answer. An evolutionary prototype is built with the intention of becoming part of the eventual product, which makes sense once your design assumptions are mostly settled.<\/p>\n Typical things a team might measure from prototype testing:<\/p>\n None of these tell you whether someone will pay. They tell you whether the design works the way you think it does, which is the entire point of this stage.<\/p>\n A minimum viable product is the smallest set of features that lets a team collect the maximum validated learning about customers with the least effort, as described in the minimum viable product overview. Where a prototype checks whether people understand your design, an MVP checks whether they will actually adopt it, keep using it or pay for it. The goals shift from usability to acquisition, activation, retention and revenue signals.<\/p>\n A few recognised MVP patterns show up repeatedly:<\/p>\n The metrics that matter here are different from prototype metrics. Activation rate tells you whether people who sign up actually use the core feature. Conversion to paid tells you whether the value is strong enough that someone reaches for their card. Retention after the first week tells you whether the initial interest survives contact with daily use. Early cost-per-acquisition signals, even rough ones, tell you whether the economics could ever work at scale.<\/p>\n Industry reporting on early-stage digital projects warns that teams often fail by overplanning or by building a polished demo without testing the hard assumption, as noted in the Financial Times analysis<\/a>. An MVP only earns its name if it forces contact with a real, risky question: will someone actually use this, or pay for it.<\/p>\n The two tools answer different questions, and mixing them up usually means building the wrong thing well rather than the right thing roughly.<\/p>\n\n
\nTable of Contents<\/h2>\n
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What a prototype is: types and what you learn<\/h2>\n
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What an MVP is: models and measurable outcomes<\/h2>\n
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![\"MVP](\"https:\/\/www.flowlab.works\/blog\/wp-content\/uploads\/2026\/10\/1791272165991_MVP-experiment-testing-use-and-payment.jpeg\")
<\/p>\nHow prototypes and MVPs differ: a decision checklist<\/h2>\n
![\"Timeline](\"https:\/\/www.flowlab.works\/blog\/wp-content\/uploads\/2026\/10\/1791272230239_Timeline-and-cost-expectations-for-prototypes-and-MVPs-overview-diagram.jpeg\")
<\/p>\n![\"Flowlab\"](\"https:\/\/www.flowlab.works\/blog\/wp-content\/uploads\/2026\/08\/1787190647142_flowlab.jpg\")
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