Ethiopia faces challenges in implementing effective monitoring networks for agricultural productivity, necessitating a methodological evaluation to enhance efficiency. A mixed-method approach combining quantitative data analysis and qualitative interviews was employed. A linear regression model was used to estimate the impact of network effectiveness on productivity gains (Y = β0 + β1X1 + β2X2 + ε, where Y is productivity gain, X1 is monitoring frequency, X2 is resource allocation efficiency). The study's robustness was assured by employing confidence intervals and likelihood-based inference. The analysis revealed a significant positive correlation between increased monitoring frequency (over 3 times per year) and higher productivity gains (β1 = 0.75, CI: [0.62, 0.88]). Regional monitoring networks in Ethiopia have demonstrated the potential to enhance agricultural efficiency when operationalized with regular data collection and strategic resource allocation. Implementing a structured monitoring framework that includes frequent data collection and optimised resource distribution could lead to substantial productivity improvements. Ethiopia, Monitoring Networks, Agricultural Efficiency, Quasi-Experimental Design