Why Attend This Training Course?

This training course equips participants with essential competencies for establishing and executing results-based monitoring and evaluation (M&E) systems, encompassing data management, analysis, and reporting. By integrating contemporary M&E philosophies and practices, including participatory approaches, participants will gain comprehensive insights into robust M&E frameworks. It encompasses critical components of M&E systems and incorporates hands-on projects to enhance practical understanding of the concepts. Through focused lessons and workshops, attendees will also explore strategies for effectively integrating data demand and employing analytical tools within the context of M&E.

What Is The Training Course Methodology?

This interactive training course methodology depends on enabling participants to interact and exchange experiences, explore their competencies and achieve their career aspirations, using forward-thinking training arts, such as theoretical lectures and/or open discussion to exchange opinions and experiences, scenarios, innovative thinking brainstorming. Participants will receive an agenda including training material as a reference, in addition to some extra notes and booklets. 

Who Should Attend This Training Course?

This training course is suitable anyone involved in the processes of research, supervise, manage, plan, implement, monitor and evaluate development project

What Are The Training Course Objectives?

• Develop a comprehensive monitoring and evaluation (M&E) plan to ensure project effectiveness.

• Utilize data analysis software for efficient data management and interpretation.

• Build project results levels to align activities with intended outcomes.

• Construct a project using logical frameworks to enhance clarity and organization.

• Use indicators and targets to quantitatively measure project success and impact.

• Monitor and track performance indicators throughout the project's lifecycle to ensure alignment with goals.

• Conduct impact evaluations to assess the overall effects of the project.

• Evaluate the project against key measures to determine efficacy and areas for improvement.

• Collect data using mobile data collection tools to streamline data gathering and enhance accuracy.

What Is The Training Course Curriculum?

Definition and Importance of Monitoring and Evaluation

• Definition of Monitoring

• Definition of Evaluation

• Distinction between Monitoring and Evaluation

• Enhancing accountability and transparency

• Informing decision-making and resource allocation

• Facilitating project improvement and impact assessment

Key Principles and Concepts in M&E

• Relevance, effectiveness, efficiency

• Sustainability and inclusivity

• M&E in Project Lifecycle

• Planning phase

• Implementation phase

• Completion phase

• Participatory M&E

Project Analysis

• Situation Analysis

• Needs Assessment

• Strategy Analysis

• Impact, Outcomes, Outputs, and Activities

• Development of Results Framework

• M&E Causal Pathway

Monitoring and Evaluation Indicators

• Definition of Indicators

• Metrics for Indicators

• Linking Indicators to Results

• Creation of Indicator Matrix

• Tracking of Indicators

Logical Framework Approach 

• Analysis and Planning Phase of LFA

• Design of Logframe

• Risk Rating Process in Logframe

• Horizontal and Vertical Logic in Logframe

• Logframe as a Project Management Tool

Theory of Change

• Developing a Theory of Change

• Comparison: Theory of Change vs Log Frame

• Case Study on Theory of Change

Monitoring and Evaluation Systems

• Definition of an M&E System

• Essential Elements of an M&E System

• Steps for Developing a Results-based M&E System

Monitoring and Evaluation Planning

• Importance of an M&E Plan

• Documenting M&E System in the Plan

• Components of an M&E Plan

• Importance of Baseline Studies

• Process of Conducting Baseline Studies

• Comparison between Baseline Study and Evaluation

Project Evaluation Performance 

• Process and Progress Evaluations

• Evaluation Research Design

• Formulating Evaluation Questions

• Dissemination of Evaluation Reports

• Sources of M&E Data

• Qualitative Data Collection Methods

• Quantitative Data Collection Methods

• Participatory Data Collection Methods

Data Quality Assessment

• Utilizing M&E Results to Enhance Projects

• Sharing M&E Lessons Learned and Best Practices

• Reporting Formats for M&E Results

• Integration of M&E Results in Communication Strategies

• Importance of Gender Considerations in M&E

Primary vs. Secondary Data Sources

• Sampling Strategies for Data Collection

• Data Collection Methods

  • Qualitative

  • Quantitative

  • Participatory

• Standards for Data Quality

• Data Flow and Quality Assurance

• Data Quality Assessments

• Designing M&E Systems for Data Quality

• Implications for Future M&E Practices