Monitoring and Evaluation (M&E) has become a defining pillar of international development, serving both accountability and learning functions while shaping long-term strategies. This article synthesizes the central dimensions of effective M&E, including frameworks such as Results-Based Management (RBM), the Logical Framework Approach (LogFrame), and Theory of Change (ToC). It examines the core components of planning, data collection, analysis, impact assessment, and reporting, while addressing persistent challenges in resource-constrained environments. Case studies from Africa, Asia, and Latin America illustrate how participatory methods, technological tools, and adaptive management contribute to measurable results and community ownership. Looking forward, the article highlights trends such as real-time data systems, participatory engagement, and advanced technologies including artificial intelligence (AI) and machine learning (ML). It concludes that M&E is not merely a technical function but a catalyst for transparency, adaptive learning, and sustainable development, ensuring that interventions contribute to resilience, equity, and the achievement of the SDGs.
Anna Neya Kazanskaia (Wed,) studied this question.