In the realm of international development, the ability to design, implement, and manage effective Monitoring and Evaluation (M&E) systems is critical to the success of both public and donor-funded projects. Our Effective Monitoring & Evaluation for Public and Donor-funded Programmes Seminar is designed to equip participants with advanced project management, M&E skills, and the tools necessary to ensure project success and accountability. By mastering these M&E systems, organizations can accurately track progress, demonstrate results, and make data-driven decisions that optimize resources and enhance program impact. This Effective Monitoring & Evaluation for Public and Donor-funded Programmes training blends foundational concepts with cutting-edge practices in data collection, evaluation, and reporting. Participants will gain hands-on experience in designing M&E systems, selecting relevant indicators, and using advanced data analysis techniques. Whether you're a project management official or a development practitioner, this course will empower you with the skills to navigate the complexities of M&E in the context of public and donor-funded programs. Through a combination of theoretical lectures and practical workshops, participants will leave the course with the knowledge and confidence to implement M&E frameworks that meet international standards. The Effective Monitoring & Evaluation for Public and Donor-funded Programmes course also focuses on performance monitoring, data interpretation, and communication of findings, all essential for driving impactful, results-based management.

Course Objectives

By the end of this Effective Monitoring & Evaluation for Public and Donor-funded Programmes course, participants will be able to:

• Understand the key concepts and principles of monitoring and evaluation.
• Design effective M&E systems and frameworks tailored to development programs.
• Implement M&E frameworks and determine relevant evaluation indicators.
• Develop realistic goals and use data-driven indicators to track progress.
• Monitor the progress of programs with a focus on resource allocation and results.
• Use mobile-based data collection tools and interpret M&E data effectively.

Duration: 10 Days

Who Should Attend

This Effective Monitoring & Evaluation for Public and Donor-funded Programmes training is ideal for:

• Project management officials
• Government officials and department heads
• Program managers and policymakers
• Development practitioners and activists
• NGO and CSO members
• University researchers

Course Content

Module 1: Basic Concepts in Monitoring and Evaluation

• Introduction to M&E principles
• Integrating M&E into the project/programme cycle
• Importance and purpose of M&E
• Identifying gaps and barriers in M&E
• Introduction to problem analysis in M&E

Module 2: Results-Based M&E

• Definition and principles of result-based M&E
• How to use results-based management (RBM) in M&E
• Tools for results-based M&E
• Developing performance indicators and measurement frameworks

Module 3: Readiness Assessment & Determination of Outcomes

• Conducting M&E readiness assessments
• Significance and key aspects of readiness assessments
• Determining outcomes for M&E
• Selecting and constructing good performance indicators

Module 4: Baseline Assessment

• Defining baseline assessments and their importance
• Setting baselines and gathering baseline indicators
• Methods for baseline data collection
• Use of baseline data in evaluations

Module 5: M&E Systems and Frameworks

• Principles and purpose of M&E systems
• Designing M&E systems and frameworks
• Linking M&E frameworks to project indicators
• Practical exercises in M&E system development

Module 6: Performance M&E for Results

• Types and levels of monitoring
• Links between implementation monitoring and results monitoring
• Evaluation techniques and assessing program impact
• Gender disaggregation in M&E planning
• Communicating M&E findings to stakeholders

Module 7: Statistical Concepts, Research Methodology, Data Collection, and Management

• Qualitative and quantitative data collection methods
• Research design and sampling techniques
• Data validation, sorting, and transformation
• Tools for data collection and management

Module 8: Tabulation and Graphical Presentation of Data

• Descriptive statistics and frequency tables
• Graphs and charts for categorical data presentation

Module 9: Data Analysis and Interpretation for M&E

• Hypothesis testing, regression, and correlation analysis
• Introduction to analyzing qualitative data
• Using NVivo and other qualitative data analysis software

Module 10: Mobile-Based Data Collection (ODK) and Mapping

• Introduction to mobile data collection using ODK
• Designing and creating ODK forms for data collection
• Using GPS coordinates for mapping and visualizing data
• Advantages and challenges of mobile-based data collection tools