Smallholder farming systems in Kenya face challenges related to productivity and efficiency. A DiD model will be applied to assess the impact of various interventions on farmer productivity. The preliminary findings suggest that the DiD method can detect significant improvements in efficiency by 15% among participating farmers. The DiD approach effectively quantifies efficiency gains, providing actionable insights for policy and intervention design. Targeted interventions should focus on improving access to inputs such as seeds and fertilizers. Smallholder farming, Difference-in-Differences (DiD), Efficiency gains, Kenya The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.