Creating Minimum Viable Products in Industry-Academia Collaborations

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http://hdl.handle.net/10138/41932

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Münch , J , Fagerholm , F , Johnson , P , Pirttilahti , J , Torkkel , J & Järvinen , J 2013 , Creating Minimum Viable Products in Industry-Academia Collaborations . in B Fitzgerald , K Conboy , K Power , R Valerdi , L Morgan & K-J Stol (eds) , Lean Enterprise Software and Systems : 4th International Conference, LESS 2013, Galway, Ireland, December 1-4, 2013, Proceedings . Lecture Notes in Business Information Processing , vol. 167 , Springer-Verlag , Lean Enterprise Software and Systems , Galway , Ireland , 01/12/2013 . < http://www.springer.com/computer/swe/book/978-3-642-44929-1 >

Title: Creating Minimum Viable Products in Industry-Academia Collaborations
Author: Münch, Jürgen; Fagerholm, Fabian; Johnson, Patrik; Pirttilahti, Janne; Torkkel, Juha; Järvinen, Janne
Editor: Fitzgerald, B.; Conboy, K.; Power, K.; Valerdi, R.; Morgan, L.; Stol, K.-J.
Contributor: University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
Publisher: Springer-Verlag
Date: 2013
Language: eng
Number of pages: 15
Belongs to series: Lean Enterprise Software and Systems 4th International Conference, LESS 2013, Galway, Ireland, December 1-4, 2013, Proceedings
Belongs to series: Lecture Notes in Business Information Processing
ISBN: 978-3-642-44929-1
URI: http://hdl.handle.net/10138/41932
Abstract: Customer value determines how products and services succeed in the marketplace. Early assessment of customer value is important for software startups, spin-off companies, and new product development in existing companies. Software technology often influences customer value and typically defines the main competitive advantage in both entrepreneurial and intrapreneurial settings. Value-related feedback from real customers is needed during software development and maintenance, and decision-making should be increasingly based on empirical evidence acquired through experiments. Getting such value-related feedback usually requires a so-called minimum viable product (MVP), i.e., an artefact that is far away from being mature with respect to functionality or quality, but displays characteristics that allows determining its customer value. In this article we report on a case study which used industry-academia collaboration for creating such an MVP. Our goal was to identify strengths and weaknesses of such a way of creating MVPs while providing practical recommendations for improvement. The process followed in the case study was found to be very suitable in creating MVPs, reducing company-specific risks with respect to testing customer-value, and advancing university education.
Subject: 113 Computer and information sciences
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