One thing I have to admit is that I am not much into doing sports, never have been. I know that it is part of a healthy lifestyle to keep yourself fit, but I’m struggling to put this into practice. The one sport I have tried to keep up is running, because of its simplicity – all you need is a pair of running shoes. But also with that, I have been struggling. For a while I do it fairly regularly, then I drop it again for the one or the other reason. I often struggled to convince myself to go out running during the day, particularly if running competed with reading a book or writing a blog post! So it has all been quite frustrating.
In personal development and self-improvement, using an approach that is based on habits seems more promising for most people than an approach that is based on goals. Just think about the many New Year’s resolutions that were never achieved. I tried to put this advice into practice and it seems to work. By making it a habit, rather than by setting a goal of running a half-marathon in six months time, I am now running relatively regularly, which is good for my health. But would this also help us when we approach systems change? Can we think of certain institutionalised behaviours in systems as good or bad habits? This thought I had while running this morning seems worth exploring.
In one of my recent articles I asked the question ‘Should we fix wrong behaviour?’ The article has had great resonance with the community. In particular, it sparked an inspiring exchange among colleagues at ACDI/VOCA, which they shared on their own blog. They gave me permission to repost the article here but given its length I will just link to it – do read it if you have the time. Below, I have drawn out a couple of quotes that I found particularly interesting and insightful and I am also adding some follow up thoughts from my side at the end.
Two years ago, Zenebe Uraguchi of Helvetas had a conversation with Rubaiyath Sarwar of Innovision Consulting on how fixation on chasing targets leads programmes in development cooperation to miss out on contributing to long-term and large-scale changes. In March 2019, Zenebe met Marcus Jenal in Moldova. Marcus thinks a lot about how complexity thinking can improve development.
This blog is a summary of their dialogue on three thoughts that development practitioners who apply a systemic approach need to consider when measuring success in terms of contributing to systemic change.
I have spent the last three days at the Market Systems Symposium 2019 in Cape Town. I really enjoyed the event. Besides meeting good friends, there was a great number of practitioners with astonishing accumulated experiences on how to implement Market Systems Development (MSD) projects. There was also a good number of donor staff, which provided their perspectives on the challenges of implementing adaptive and learning programmes – unfortunately the European donors were largely absent (with the exception of one participant from the Swiss Agency for Development and Cooperation), most of the donor staff were from USAID. The majority of the active participants were those that are working on further developing the approach, innovate within their project and generally try to make market development more effective – it was really exciting to hear what they figured out and what they are struggling with. There was a good energy around during the three days. But I have also picked up some concerning trends, particularly around the growing intent of MSD projects to change market actors’ behaviours.
Recently I started a series on the development of a typology of systems change (the two previous articles are here and here). In this post, I want to introduce the concepts of ‘scaling out’, ‘scaling up’ and ‘scaling deep’ developed by scholars of social innovation. I want to link these concepts to my earlier thinking around the systems change typology and update it based on the new insights from this literature. At the end I will also voice a little critique on innovation-focused approaches to systems change.
‘Scaling out’ refers to the most common way of attempting to getting to scale with an innovation: reaching greater numbers by replication and dissemination. ‘Scaling up’ refers to the attempt to change institutions at the level of policy, rules and laws. Finally, ‘scaling deep’ refers to changing relationships, cultural values and beliefs.
My company is a consulting firm and on my CV I call myself a consultant. Consultants are experts that are hired to bring solutions to a problem or improve the functioning of a mechanism, process or organisation. They are expected to have all the answers and are paid by somebody to give them the right answers to their questions or solutions for their problems.
When I work with organisations and teams on complex challenges, I often do not feel comfortable in this role as a consultant or expert. Too often, I do not know the answers or solutions. Too often, I have felt that moment of panic in the plane on the way to a client that I do not really know what to tell them, that I do not have the answers they are hoping to get from me. As I have said and written before, intervening in complex systems is not about fixing things, like fixing an engine. Complex systems are evolving interconnected systems. Understanding these interconnections and shifting the context is a more appropriate approach to change. This always needs to be based on a deep sense of understanding the local context and continuous mutual learning. Continue reading →
I have never been very comfortable with the concept of root causes. I do see the need to go below the surface and not just look at the ‘symptoms’. Yet, it seems to me that the concept of root causes – one problem causing one or a number of symptoms – is at odds with the idea of complex systems, where patterns emerge as a result of a number of different interconnected and interdependent elements and structures.
The idea or root causes is linked to a linear cause-effect kind of thinking. This often plays out as follows: development agents going into a country, observing an undesirable pattern or symptom, doing some analysis to find a root cause, fixing it, and assuming the symptom will disappear – a linear causal chain is assumed from the root cause to the symptom. This is also the reason why many projects use results chains – chains of boxes and arrows indicating steps in a causal chain from the root cause to the symptom.
The problem with this type of thinking is that it does not reflect how the world really works. Still, this is how development generally approaches complex problems. Complexity thinking offers a different way of thinking about intractable or ‘messy’ issues such as getting stronger and more inclusive economies. One concept in particular seems helpful to replace the linear causal logic from root causes to symptoms: the concept of modulators. Continue reading →
In my last post I shared my thinking around a possible typology of systemic change that could help us come to grips with the different concepts and ideas that are connected to systemic change. I have received some feedback on the post and I have done some more thinking that I would like to share in this follow up post.
Concretely, I want to share my thoughts about the usefulness of systemic change as a concept on a more fundamental level, based on the obvious fact that systems change anyway, also without purposeful interventions.
Systemic change has been a frequent topic on this blog – as it is in my work. After running after the perfect conceptualisation of systemic change for many years, this post is inspired by my realisation that there may be different ways to look at systemic change – all correct in their own right. I have discussed systemic change with many colleagues and friends and I have always tried to reconcile different views on the concept, only now realising that they might not be reconcilable. So here an attempt of a typology of systemic change (initially differentiating two types) – nothing final, just trying to put my thinking down in writing.
A warning in advance. This article is rather conceptual and I’m introducing some models that might be new to my readers (but then again, I have done that before). I’m trying to sort through recent reading in my mind to better understand the types of systemic change. This should not stop you from reading it of course! I would be happy to discuss this with anybody!
As external development agents, we cannot create impacts with all the qualities we want them to have: sustainable, inclusive, gender-equal, etc. We can only work with and through the system, so these qualities become an inherent part of how the system does things. Let’s say we call a system ‘healthy’ when it is creating these qualities we would like to see (although I’m not sure ‘healthy’ is the best term, it sounds a bit judgemental, but it has been used by others before). The question is how does a healthy system look like that is more likely to deliver impacts with the desired qualities? And how can we improve the health of a system?
There are various bodies of knowledge, all rooted in systems and complexity thinking, that give us some ideas to help answer this question. They all answer them from a different perspective and some are clearly limited in scope while others claim universality. I want to introduce three sets of principles or maybe sets of favourable behaviours here. Continue reading →