Diseño de un modelo estandarizado de Evaluación Ex Ante y Ex Post orientado a los proyectos de inversión del Ministerio de Minas y Energía, basado en las buenas prácticas de la metodología de Marco Lógico

Abstract

This master’s degree project examines the limitations faced by Colombia’s Ministry of Mines and Energy in ensuring that public investment projects in the mining and energy sector achieve satisfactory levels of effectiveness and impact in generating public value. Such limitations are associated with weaknesses in project life cycle management and with the absence of standardized institutional guidelines to consistently support Ex Ante and Ex Post evaluation. Accordingly, the main objective was to update and adapt the Ex Ante and Ex Post evaluation methodologies developed by Colombia’s National Planning Department, tailoring them to the needs of public investment projects in the mining and energy sector, with the aim of strengthening the project life cycle based on the good practices of the Logical Framework Methodology. The study adopted a qualitative applied approach, grounded in the Logical Framework Methodology and aligned with the General Adjusted Methodology, through documentary review and comparative analysis of national and international references, construction of problem and objective trees, stakeholder analysis, alternatives assessment, and the structuring of the project’s analytical model using the Project Analytical Structure and the logical framework matrix, including indicators, means of verification, assumptions, and a risk matrix. The process consolidated three main outputs: an applicable regulatory and reference framework; an Ex Ante and Ex Post methodological document establishing evaluation criteria, indicators, means of verification and thresholds; and two operational application guides (one Ex Ante and one Ex Post), supported by implementation instruments and an institutional dissemination strategy. The discussion indicates that the proposed model strengthens traceability, accountability, and evidence-based decision-making in sectoral public investment; however, long-term sustainability depends on institutional support, access to cross-sector information, and organizational willingness to adopt, update, and continuously improve the model.