MEAL Training Manual
Year: 2025
Type: article
Abstract: raining Document Description (MEAL Framework)This training package provides a comprehensive introduction to Monitoring, Evaluation, Accountability, and Learning (MEAL) systems, tailored for organizations implementing donor-funded programs. The content is structured to build both conceptual understanding and practical application skills, ensuring participants can design, manage, and adapt MEAL frameworks effectively. Core Modules: Introduction to MEAL – Defines MEAL, its role in project cycles, and its value for accountability, adaptive management, and impact measurement. Monitoring – Covers development of indicators, data collection methods, and tools for tracking project progress against targets. Evaluation – Explains evaluation types (formative, summative, baseline, midline, endline), methodologies, and how findings inform decision-making. Accountability – Highlights mechanisms for stakeholder engagement, feedback systems, and safeguarding approaches that ensure transparency and trust. Learning – Provides strategies for transforming monitoring and evaluation insights into organizational learning, program adaptation, and policy influence. Practical Tools & Templates – Includes logframes, results frameworks, data collection templates, reporting formats, and participatory feedback mechanisms. Case Studies & Exercises – Uses sector-specific examples and group activities to contextualize MEAL principles in real-world program settings. Learning Outcomes: Understand the purpose and scope of MEAL in development programming. Design robust monitoring and evaluation plans aligned with donor requirements. Apply accountability tools to strengthen stakeholder trust and inclusion. Use learning loops to adapt programs, enhance effectiveness, and scale impact. Confidently report on outcomes using standard frameworks and donor-compliant formats.
Author: Kaitano, Sharon Rhodah
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7084109653
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