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Engineering a business: An empirical assessment of methods utilized by a startup to optimize product to market fit
University of Borås, Faculty of Textiles, Engineering and Business.
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Everyday ideas are born that change the world, ideas that beat the high-risk market of entrepreneurship. Relating to the question, what gives way to an optimal market establishment? The purpose of the thesis is to provide information related to what type of methodologies that contribute to the endeavours of a startup to successfully create a product that serves the markets needs. Achieved through careful and qualitative assessments of relevant sources in an abductive approach. The empirical findings from an observed startup serves as the basis for research, subsequently correlated and defined through scientific findings of the methodologies of the business model canvas, minimum viable product, and Lean Startup Methodology. The foundation of observations revolves around the startup company Swift, whose vision is to eliminate the risk of discrimination in the job-searching process through innovate and technical measures. Furthermore, quantitative data was gathered to assess the applicability of this study to the general startup market. The analyses of the startups utilization of the methodologies indicated flaws revolving human bias factors of interpreting data, and the effects of presenting minimum viable products to the market could effect the market establishment, relating to the customer perception within the innovation- spectrum. Conclusively, by utilizing methods that optimize multi-variable understanding, and continuous feedback by customers to validate market related hypothesises; give way to higher chances of an optimal product-market-fit.

Place, publisher, year, edition, pages
Keyword [en]
Entrepreneurship, Lean start-up, Business Model Canvas, pitfalls of startup, risks of startup, Minimum Viable Product
National Category
Engineering and Technology
URN: urn:nbn:se:hb:diva-10285OAI: diva2:944441
Subject / course
Industriell ekonomi
Available from: 2016-08-04 Created: 2016-06-29 Last updated: 2016-08-04Bibliographically approved

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