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100+ Metrics for Software Startups - A Multi-Vocal Literature Review

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  • Kai-Kristian Kemell
  • Xiaofeng Wang
  • Anh Nguyen-Duc
  • Jason Grendus
  • Tuure Tuunanen
  • Pekka Abrahamsson

Abstract

Metrics can be used by businesses to make more objective decisions based on data. Software startups in particular are characterized by the uncertain or even chaotic nature of the contexts in which they operate. Using data in the form of metrics can help software startups to make the right decisions amidst uncertainty and limited resources. However, whereas conventional business metrics and software metrics have been studied in the past, metrics in the spe-cific context of software startup are not widely covered within academic literature. To promote research in this area and to create a starting point for it, we have conducted a multi-vocal literature review focusing on practitioner literature in order to compile a list of metrics used by software startups. Said list is intended to serve as a basis for further research in the area, as the metrics in it are based on suggestions made by practitioners and not empirically verified.

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  • Kai-Kristian Kemell & Xiaofeng Wang & Anh Nguyen-Duc & Jason Grendus & Tuure Tuunanen & Pekka Abrahamsson, 2019. "100+ Metrics for Software Startups - A Multi-Vocal Literature Review," Papers 1901.04819, arXiv.org.
    • Handle: RePEc:arx:papers:1901.04819
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    References listed on IDEAS

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    1. Almus, Matthias & Nerlinger, Eric A, 1999. "Growth of New Technology-Based Firms: Which Factors Matter?," Small Business Economics, Springer, vol. 13(2), pages 141-154, September.
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