Futures signals sense-making framework (FSSF): A start-up tool to analyse and categorise weak signals, wild cards, drivers, trends and other types of information

Abstract

This article introduces future signals sense-making framework (FSSF), an alternative philosophy towards weak signals, emerging issues, drivers, and trends, that is in contrast to the traditional single signal or path extrapolation approach. The philosophy of FSSF is based on the principles of environmental scanning and pattern management, which state that if there is a grand transformation process on the way or if there is a new emerging pattern or phenomenon, such a process will certainly be reflected in many different ways. Therefore, in this philosophy, futures knowledge is believed to be fragmented between various simultaneous and overlapping sources. Here, a researcher's task is to carry out a sufficient environmental scanning process and to cluster and sense how to create the emerging future through a pattern management process where FSSF plays a role as the first start-up tool. Alternatively, FSSF can also be used as a general knowledge management and sense-making tool for any kind of analyses.