This report presents the results of a baseline survey focused on the impact and outcome indicators associated with this first theory of change. DryDev’s impact evaluation strategy for its direct work with farmers will involve comparing changes in the status of these indicators between these farmers and others residing in neighbouring geographic areas that will not be supported. Statistical methods will also be used to control for measured non-programme related differences between the two. This quantitative impact evaluation design, more specifically, combines both the difference-in-differences and propensity score matching (PSM) causal impact evaluation strategies. Qualitative and participatory research methods will also be used to both triangulate and add depth to the quantitative results and interrogate the mechanisms of how and why the changes expected from the programme did or did not manifest.