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 widespread 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