This post was written by Zenebe Uraguchi and originally published on the Helvetas Inclusive Systems Blog. It is reposted here with permission.
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.
Thanks to my engagement in the ‘Systemic M&E’ initiative of the SEEP Network (where M&E stands for monitoring and evaluation but we really have been mainly looking into monitoring), I have been discussing quite a bit with practitioners on monitoring and results measurement and how to make monitoring systems more systemic. For me this bottom up perspective is extremely revealing in how conscious these practitioners are about the complexities of the systems they work in and how they intuitively come up with solutions that are in line with what we could propose based on complexity theory and systems thinking. Nevertheless, practitioners are often still strongly entangled in the overly formalistic and data-driven mindset of the results agenda. This mindset is based on a mechanistic view of systems with clear cause-and-effect relationships and a bias for objectively obtained data that is stripped from its context and by that rendered largely meaningless for improving implementation. Continue reading