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In product development, the minimum viable product (MVP) is the product with the highest return on investment versus risk. It is the sweet spot between products without the required features that fail at sunrise and the products with too many features that cut return and increase risk. The term was coined and defined by Frank Robinson,〔(SyncDev )〕 and popularized by Steve Blank, and Eric Ries.〔W. S. Junk, "(The Dynamic Balance Between Cost, Schedule, Features, and Quality in Software Development Projects )", Computer Science Dept., University of Idaho, SEPM-001, April 2000.〕〔Eric Ries, March 23, 2009, (Venture Hacks interview: "What is the minimum viable product?" ), Lessons Learned〕〔(Perfection By Subtraction – The Minimum Feature Set )〕〔Holiday, Ryan (The single worst marketing decision you can make ) ''The Next Web''. 1 April 2015〕 It may also involve carrying out market analysis beforehand. == Description == A minimum viable product has just those core features that allow the product to be deployed, and no more. The product is typically deployed to a subset of possible customers, such as early adopters that are thought to be more forgiving, more likely to give feedback, and able to grasp a product vision from an early prototype or marketing information. It is a strategy targeted at avoiding building products that customers do not want, that seeks to maximize the information learned about the customer per dollar spent. "''The minimum viable product is that version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort.''"〔(【引用サイトリンク】 title = Minimum Viable Product: a guide )〕 The definition's use of the words maximum and minimum means it is decidedly not formulaic. It requires judgment to figure out, for any given context, what MVP makes sense. An MVP can be part of a strategy and process directed toward making and selling a product to customers. It is a core artefact in an iterative process of idea generation, prototyping, presentation, data collection, analysis and learning. One seeks to minimize the total time spent on an iteration. The process is iterated until a desirable product/market fit is obtained, or until the product is deemed to be non-viable. Steve Blank typically refers to minimum viable product as minimum feature set.〔(【引用サイトリンク】 title = Perfection By Subtraction – The Minimum Feature Set )〕 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Minimum viable product」の詳細全文を読む スポンサード リンク
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