Systems Analysis allows us to approach complex problems that shape the broader ecosystem (across organisations, governments and regulators) that influence global standards and goals.
Simply put, it’s a way to solve problems with high uncertainty and low agreement across stakeholders.
The approach to Systems Analysis changes depending on the problem being solved, but a general process that has served me well is highlighted below.
We begin by clearly defining the problem to be addressed. This can be done by articulating the problem, clearly talking about how it is manifesting today, who is affected by it, and which other problems it perpetuates.
We use “How might we…” questions to frame the problem in terms of an aspirational and actionable goal.
We make use of stakeholder maps to identify interactions across different dimensions (geography, power, influence, etc)
We clearly identify where the system boundary is so that our analysis works on a closed loop.
We employ the Iceberg Model to delve beneath the surface of the problem. Identify both the visible and hidden elements, such as underlying structures, mental models, and cultural factors. This deeper understanding enables a more nuanced approach to system dynamics.
We map out causal relationships and feedback loops within the system. Understand how variables interact and influence each other over time. Causal loops highlight both reinforcing and balancing feedback, uncovering the dynamics that contribute to the persistence of the problem.
Next, we explore the current solutions within the system. This step lays the groundwork for devising a multifaceted approach to systemic challenges by identifying where the gaps and levers in the system are and how to leverage them.