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Teaching lean startup principles:an empirical study on assumption prioritization

  • Creating new business models, products or services is challenging in fast changing unpredictable environments. Often, product teams need to make many assumptions (e.g., assumptions about future demands) that might not be true. These assumptions impose risks to the success and these risks need to be mitigated early. One of the principles of the Lean Startup approach is to identify and prioritize the riskiest assumptions in order to validate them as early as possible. This helps to avoid wasting effort and time. In the literature there are several different methods for identifying and prioritizing the riskiest assumptions reported. However, only little research exists about the practical application of these methods in practice and how to teach them. In this paper, we present and empirically analyze a workshop format that we have developed for teaching the prioritization of Lean Startup assumptions. We aim at raising the awareness for assumption thinking among the participants and teach them through group work how to prioritize assumptions. The results of the analysis of a multitude of conducted workshops show that the applied method did lead to reasonable results and accompanying learning effects. In addition, the participants got aware of assumption thinking and liked learning in a practical way.

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Author of HS ReutlingenGutbrod, Matthias; Münch, Jürgen
Erschienen in:Software-intensive business: start-ups, ecosystems and platforms : proceedings of the International Workshop on Software-intensive Business: Start-ups, Ecosystems and Platforms (SiBW 2018) : Espoo, Finland, December 3, 2018. - (CEUR workshop proceedings ; 2305)
Publisher:RWTH Aachen
Place of publication:Aachen
Editor:Sami Hyrynsalmi
Document Type:Conference Proceeding
Year of Publication:2018
Tag:lean startup; risk prioritization; riskiest assumptions; teaching
Page Number:9
First Page:245
Last Page:253
DDC classes:650 Management
Open Access?:Ja
Licence (German):License Logo  Open Access