Meal Training

  • Introduction to MEAL: Defining MEAL components, the relationship between MEAL and project management, and the ethical standards and principles required for humanitarian and development work.
  • Logic Models and Theory of Change: Establishing a foundation through Results Frameworks and Logical Frameworks (Logframes), which translate abstract project goals into measurable objectives.
  • MEAL Planning and Indicator Development: Developing SMART (Specific, Measurable, Achievable, Relevant, Time-bound) indicators that track project progress, output, and impact.
  • Data Collection and Management: Designing data collection tools, applying sampling principles, ensuring data quality, and managing databases effectively.
  • Accountability and Learning: Implementing mechanisms to capture stakeholder feedback and complaints, and creating processes to turn data into actionable lessons for adaptive management.
  • Digital MEAL Tools: Integrating technology for data collection, analysis, and visualization to streamline reporting and decision-making.
  • MEAL in Specific Contexts: Tailoring MEAL strategies to specialized environments, such as emergency responses, health, or livelihood sectors.