Training on Designing Monitoring and Evaluation (M&E) Systems

Module 1: Introduction to Monitoring and Evaluation (M&E)

• Definition and concepts of M&E
• The importance of M&E in program management
• The M&E cycle
• Ethical considerations in M&E

Module 2: Program Design and Logical Frameworks

• Program theory and logic models
• Developing a logical framework (logframe)
• Identifying program goals, objectives, outputs, and outcomes

Module 3: Indicator Development

• Types of indicators (outcome, output, process)
• SMART (Specific, Measurable, Achievable, Relevant, Time-bound) indicators
• Indicator validation and refinement

Module 4: Data Collection Methods

• Qualitative and quantitative data collection methods
• Surveys and questionnaires
• Interviews and focus groups
• Observations and document review
• Sampling techniques

Module 5: Data Management and Analysis

• Data cleaning and processing
• Data analysis techniques (descriptive, inferential)
• Data visualization and presentation

Module 6: M&E Tools and Technologies

• M&E software and platforms
• Mobile data collection tools
• Data analysis tools

Module 7: Monitoring and Evaluation Plans

• Developing a comprehensive M&E plan
• Work plans and timelines
• Budgeting for M&E activities

Module 8: Implementing and Managing M&E Systems

• Building M&E capacity
• Stakeholder engagement and ownership
• Quality assurance and control
• Monitoring and evaluation reporting

Module 9: Using M&E for Learning and Decision Making

• Learning from M&E data
• Adaptive management and course correction
• Knowledge management and sharing

Module 10: M&E and Accountability

• M&E for transparency and accountability
• Communicating M&E results to stakeholders
• Using M&E for advocacy and resource mobilization