We use theories of change and logic models to frame how programs are expected to generate impact, helping identify not just what changed, but how and why. At the outset, we co-develop these frameworks with implementing partners to map inputs, activities, outputs, and anticipated outcomes, as well as assumptions and external risks.
Our evaluation tools are then aligned with these causal pathways to measure the results and validate the logic.
