Service design for solutions to the United Nations Sustainable Development Goals

Abstract

While large organisations use technology and innovation to automate processes that reduce employment, startup companies can create employment. While there is little data about survival rates and reasons for failure, a lack of process and decisions based on assertion and assumption may be important factors may be important factors. Only a small number of startups survive for more than twelve months and so their potential for social, economic and environmental impact is limited. To increase the rate of startup survival and so increase associated employment, as well as other positive impacts, this paper describes a systemic process for startups to use to assess their progress, in which decision quality is based on evidence at frequent check points. To do this a confidence score is assigned to the evidence and a vector created through the decision check points to indicate the rate of value creation with a trend for defined objectives. Based on this evidence, progress can be assessed objectively.