Our aim was to increase the transparency of the system for our research partners and to spark new insights to improve the quality of programme implementation. Translating qualitative themes into metaphor and imagery, we created a visual depiction of the system to reflect the experience of the system’s users (health promotion practitioners) and facilitated a workshop with policy-level programme administrators (i.e. Guided by systems thinking principles, we conducted a systemic analysis of ethnographic fieldnotes collected as part of a broader study that examined the dynamics between an IT system and the implementation of the state-wide childhood obesity prevention programmes it was designed to monitor. In this paper, we describe how we developed and applied a ‘rich picture’ in a coproduction project with policy-level partners. Rich pictures are a systems thinking tool to help make sense of complexity. Tools and approaches are needed to support coproduction teams to successfully navigate divergent viewpoints while producing rigorous but meaningful research outcomes. Because end-users often come from multiple sectors and hold diverse perspectives and priorities, involving them in coproduction can be challenging. The aim is to facilitate research translation by improving the timeliness and relevance of research. In coproduction research, traditional ‘end-users’ are involved in the entire research process.
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