The unfulfilled potential of data-driven decision making in agile software development
Paper in proceeding, 2019

With the general trend towards data-driven decision making (DDDM), organizations are looking for ways to use DDDM to improve their decisions. However, few studies have looked into the practitioners view of DDDM, in particular for agile organizations. In this paper we investigated the experiences of using DDDM, and how data can improve decision making. An emailed questionnaire was sent out to 124 industry practitioners in agile software developing companies, of which 84 answered. The results show that few practitioners indicated a wide-spread use of DDDM in their current decision making practices. The practitioners were more positive to its future use for higher-level and more general decision making, fairly positive to its use for requirements elicitation and prioritization decisions, while being less positive to its future use at the team level. The practitioners do see a lot of potential for DDDM in an agile context; however, currently unfulfilled.

Data-driven decision making




Richard Berntsson Svensson

University of Gothenburg

Robert Feldt

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

Richard Torkar

University of Gothenburg

Lecture Notes in Business Information Processing

1865-1348 (ISSN) 18651356 (eISSN)

Vol. 355 69-85
978-303019033-0 (ISBN)

20th International Conference on Agile Software Development, XP 2019
Montreal, Canada,

Subject Categories

Medical Ethics

Software Engineering

Information Science



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