“We can't impose our will on a system. We can listen to what the system tells us, and discover how its properties and our values can work together to bring forth something much better than could ever be produced by our will alone.” ― Donella H. Meadows, Thinking in Systems: A Primer
Participatory Systems Analysis (PSA) to enable strategic actors to come together to gain a better understanding of their own system, create joint visions of how it could improve and agree on practical ways to do it.
Participatory Systems Analysis puts the emphasis on the system actors and the processes that allow them to interact, learn from each other and find feasible areas for collaboration. PSA is not a tool that we can use to analyse the system; instead, it is an approach where multiples tools and techniques (including the ones in this guide) can be used to help the actors analyse the system they belong to. PSA must also promote a cyclical movement between analysis and synthesis (zooming in and zooming out).
Local systems are open and driven by human motivations and perceptions. On one hand, an open system is one where, no matter where we decide to put its boundaries, there will always be something external to it that affects it. The more open a system is, the more it interacts and depends on its surroundings. On the other hand, in a human-driven system the individuals (and the groups and institutions they belong to) are constantly learning, adapting, competing and collaborating according to the information they possess. Most of this information is limited and some is wrong.
These two prominent features of social systems (openness and human-driven) mean that it is impossible to change them from the outside in ways that are sustainable, scalable and predictable. In some cases, a project can change a system from the outside but changes do not last; in some others, changes last but they benefit just a lucky few; and in other cases, changes last and their effects are broadly felt but end up harming people and the environment.
WHAT MAKES PARTICIPATORY SYSTEMS ANALYSIS A "SYSTEMS" TOOL?
Participatory systems analysis is particularly effective when we are trying to help the system actors deal with complicated and complex problems[1]. Complicated problems have many variables and can be interpreted in different ways by different actors (e.g. how to carry out a vaccination programme). Complex problems -on the other hand- are constantly shifting and changing depending on the decisions of different actors; they are also interpreted differently by different actors (e.g. how to improve the productivity and efficiency of the livestock market).
Complicated problems can be identified and understood by experts but if their implementation (including the prioritisation of activities) requires the agreement and engagement of a wide range of actors, then experts can’t solve them through a top-down, command-and-control approach. Complex problems are even more demanding because it is very difficult to identify them or define them and to unveil their root causes.
It is precisely the very nature of the mentioned types of problems and the fact that it is impossible to solve sustainably without the engagement and alignment of a wide range of system actors that make PSA a systems tool.
[1] These concepts are based on the Cynefin Framework. The framework is currently undergoing improvements but this article provides the basics: https://hbr.org/2007/11/a-leaders-framework-for-decision-making
For an effective analysis of complicated and complex problems in a social system the following principles must be considered:
WHEN MIGHT I WANT TO USE PARTICIPATORY SYSTEMS ANALYSIS?
WHAT ELSE SHOULD I KNOW ABOUT PARTICIPATORY SYSTEMS ANALYSIS?