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Monitoring and Evaluation
Monitoring and Evaluation Data for Development Training Course
Introduction
In today’s data-driven development landscape, effective Monitoring and Evaluation (M&E) systems are critical for tracking progress, improving performance, and ensuring accountability in programs and projects. Monitoring and Evaluation (M&E) Data for Development Training Course equips professionals with in-demand M&E tools, advanced data analytics techniques, and real-time reporting strategies to support evidence-based decision-making across development sectors. This course bridges the gap between theoretical knowledge and practical implementation, ensuring participants can design, execute, and scale M&E frameworks that drive development impact.
Participants will master current M&E trends such as results-based management, participatory monitoring, qualitative and quantitative data collection, and digital M&E platforms like DHIS2 and KoboToolbox. Through real-world case studies, hands-on exercises, and expert instruction, learners will enhance their competencies in logic models, performance indicators, baseline surveys, data visualization, and impact assessments, all aligned with global development goals and donor requirements.
Programme Curriculum
Monitoring and Evaluation (M&E) Data for Development Training Course
Introduction
In today’s data-driven development landscape, effective Monitoring and Evaluation (M&E) systems are critical for tracking progress, improving performance, and ensuring accountability in programs and projects. Monitoring and Evaluation (M&E) Data for Development Training Course equips professionals with in-demand M&E tools, advanced data analytics techniques, and real-time reporting strategies to support evidence-based decision-making across development sectors. This course bridges the gap between theoretical knowledge and practical implementation, ensuring participants can design, execute, and scale M&E frameworks that drive development impact.
Participants will master current M&E trends such as results-based management, participatory monitoring, qualitative and quantitative data collection, and digital M&E platforms like DHIS2 and KoboToolbox. Through real-world case studies, hands-on exercises, and expert instruction, learners will enhance their competencies in logic models, performance indicators, baseline surveys, data visualization, and impact assessments, all aligned with global development goals and donor requirements.
Course Objectives
Understand core principles of Monitoring and Evaluation for development programs.
Apply results-based management (RBM) in project lifecycle analysis.
Develop SMART indicators and logical frameworks (LogFrames).
Conduct baseline, midline, and endline evaluations using appropriate tools.
Integrate digital tools (KoboToolbox, DHIS2, Power BI) for data collection and reporting.
Analyze qualitative and quantitative data for evidence-based decisions.
Create and implement data-driven M&E plans for donor-funded projects.
Ensure data quality and integrity using global standards.
Utilize participatory M&E approaches for inclusive program design.
Evaluate project impact using theories of change and evaluation models.
Visualize data insights using dashboards and storytelling techniques.
Integrate M&E with adaptive management in dynamic development environments.
Prepare comprehensive M&E reports for stakeholders and funding agencies.
Target Audiences
M&E Officers and Specialists
NGO/INGO Program Managers
Government Development Planners
Research and Data Analysts
Donor Agency Representatives
Project Monitoring Consultants
Social Scientists and Development Researchers
Academics and Students in Development Studies
Course Duration: 5 days
Course Modules
Module 1: Fundamentals of Monitoring and Evaluation
Definition, scope, and importance of M&E
Evolution and trends in M&E
Key concepts: outputs, outcomes, and impacts
M&E cycle and program logic
Indicators and means of verification
Case Study: Designing an M&E Framework for a Health Project in Kenya
Module 2: Results-Based Management and Logical Frameworks
Understanding RBM principles
Components of a LogFrame
Developing SMART indicators
Linking goals to results
Risk and assumption analysis
Case Study: LogFrame Development for an Education Project in Uganda
Module 3: Designing M&E Plans
Purpose and components of an M&E plan
Stakeholder mapping and roles
Budgeting and resource planning
Timeframes and responsibilities
Integration into project design
Case Study: M&E Plan for Climate Resilience in Ethiopia
Module 4: Data Collection Methods and Tools
Quantitative vs. qualitative methods
Surveys, interviews, and focus groups
Digital data tools: KoboToolbox, ODK
Sampling techniques and ethics
Tool testing and validation
Case Study: Data Collection for Food Security Project in South Sudan
Module 5: Data Analysis and Interpretation
Introduction to data cleaning and coding
Statistical analysis using Excel/SPSS
Thematic analysis for qualitative data
Data triangulation and synthesis
Drawing insights for decision-making
Case Study: Mixed Methods Evaluation of Youth Employment Program in Ghana
Module 6: Data Visualization and Reporting
Principles of effective data visualization
Tools: Power BI, Excel Dashboards
Dashboard design for stakeholders
Infographics and storytelling techniques
Writing M&E reports and executive summaries
Case Study: Interactive Dashboard for Water Sanitation Program in Rwanda
Module 7: Participatory Monitoring and Evaluation
Importance of community involvement
Tools: Most Significant Change, Scorecards
Inclusion of marginalized groups
Feedback loops and learning
Challenges and mitigation strategies
Case Study: Community-Led M&E for Gender-Based Violence Program in Malawi
Module 8: Impact Evaluation and Learning
Types of evaluations: formative, summative, impact
Theory of Change vs. Logic Models
Attribution and counterfactual analysis
Learning and adaptation strategies
Scaling and sustainability assessment
Case Study: Impact Evaluation of Agricultural Innovation Project in Tanzania
Training Methodology
Interactive lectures and multimedia presentations
Group discussions and peer learning
Real-life case studies and project simulations
Hands-on digital tool training and exercises
Guided assignments and expert feedback
Final capstone project and certificate of completion
Register as a group from 3 participants for a Discount
Upon successful completion of this training, participants will be issued with a globally- recognized certificate.
Tailor-Made Course
We also offer tailor-made courses based on your needs.
Key Notes
a. The participant must be conversant with English.
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
c. Course duration is flexible and the contents can be modified to fit any number of days.
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
e. One-year post-training support Consultation and Coaching provided after the course.
f. Payment should be done at least a week before commence of the training, to FINESKILL TRAINING CENTER account, as indicated in the invoice so as to enable us prepare better for you.