As I described yesterday, my use of narrative started with the need to discover decisions and their nature as part of creating a bottom up approach to knowledge management strategy. Decision mapping has high utility in its own right as, done properly, it reveals the true nature of activity in an organisation. That can then be contrasted with the formal understanding of the organisation, normally represented in a process map with supporting procedures. In all my years of doing this work I have yet to see the two aligned. Contrasting what is with what is thought to be with a representation of reality is a key complexity technique. Presented that contrast without evaluation an essential aspect of changing attitudes by enabling descriptive self-awareness. By that I mean allowing decision makers to come to conclusions for themselves by presenting evidence of dissonance; the role of the consultant being to enable this rather than to determine the answer.
I should say that this type if mapping is not just of value in knowledge management. It's a key element in complexity based strategy, scaling Agile development and lots of other things! Decisions are at the heart of human activity and mapping gives you the basis for lots of other understanding and intervention design.
So how does it work? Well the process is fairly simple and can be done manually, or more effectively with a simple SenseMaker® deployment. I'll describe it with SenseMaker® but also indicate the manual alternative stage by stage in italics where it is different. For those interested we will have a preconfigured version of SenseMaker® ready for this later in the month. It's one of a series of standard applications of SenseMaker® that use predefined signifier sets that we are now launching as a lower price entry point requiring less training and understanding. So lets run through the stages:
Ideally you would run this over a few months in background and then leave it in place for subsequent monitoring. However I have done it in two days in a large multi-participant workshop for the Treasury in the UK and Education policy in Australia. It's an open source method but I'd recommend mentoring the first time you run it. You can end up with tens of thousands of decision clusters and then you need to create fractal or scaled representations. Concept mapping software is good for that as you can compress and expand.
Of course you can also ask questions of the decision clusters – more on that tomorrow – and that also feeds into the dependency matrix that is at the heart of this approach to knowledge strategy.
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