Introduction

This 10-day professional training equips participants with advanced skills to design, implement, manage, monitor, evaluate, and improve project performance over the entire project lifecycle. The course integrates results-based management (RBM) principles with modern data management, analysis, visualization, and reporting techniques, enabling participants to deliver credible evidence for learning, accountability, and decision-making in humanitarian, development, and donor-funded settings.

Participants will benefit from a blend of theory, practical exercises, case studies, and hands-on use of analytical tools such as mobile data collection platforms, statistical software, GIS, and dashboards — preparing them to lead high-quality Monitoring & Evaluation (M&E) functions in diverse program environments.

Learning Objectives

By the end of this training, participants will be able to:

1. Apply Results-Based Management (RBM) concepts to project and program design
2. Set up and implement robust M&E systems aligned to stakeholder needs
3. Design performance indicators and measurement frameworks
4. Lead and conduct baseline, midline, endline, performance, and impact evaluations
5. Collect, manage, analyze, and report both quantitative and qualitative data
6. Use mobile data collection tools and software (SPSS, Stata, R, Kobotoolbox)
7. Integrate GIS for spatial analysis and visualization (ArcGIS/QGIS)
8. Communicate M&E findings to donors, partners, and decision-makers

Important Dates
Classroom Training Calendar

Online Training Calendar

Course Outline

Day 1: Foundations of Results-Based Project Management

• Results-Based Management (RBM) principles and frameworks
• How RBM supports impact, outcome, and output measurement
• Project lifecycle stages and RBM integration
• Benefits of results focus in M&E systems

Day 2: Monitoring & Evaluation Fundamentals

• Concepts and purposes of Monitoring & Evaluation
• Differences between monitoring, evaluation, and learning
• Participatory M&E approaches and ethics
• Designing M&E frameworks aligned with donor and accountability standards

Day 3: Project and Context Analysis

• Situation, needs, and stakeholder analysis
• Theory of Change (ToC) development
• Logic models and causal pathways
• Integrating project planning with monitoring and evaluation

Day 4: Results Frameworks, Indicators & Targets

• Designing outputs, outcomes, and impact indicators
• Developing Indicator Reference Sheets (IRS)
• Linking indicators to results and performance measurement
• Developing baselines, targets, and milestones

Day 5: Logical Framework Approach (LFA) in Practice

• LFA fundamentals and tools
• Developing logframes for programs and projects
• Using logframes for planning, implementation, and M&E
• Integrating risk assessment, assumptions, and budgeting

Day 6: M&E System Design & Planning

• Key elements of an effective M&E system
• M&E planning steps and toolkits
• Data collection plans and monitoring calendars
• Roles, responsibilities, and governance of M&E systems

Day 7: Data Collection Tools & Data Quality

• Qualitative and quantitative data collection methods
• Survey design, sampling, and data instruments
• Participatory data collection techniques
• Data quality principles: accuracy, reliability, timeliness, and integrity
• Field data collection best practices and quality assurance

Day 8: Data Management & Analysis

• Database design and data management workflows
• Cleaning, validating, merging, and archiving data
• Quantitative analysis using SPSS, Stata, or R
• Qualitative data analysis concepts
• Using dashboards and visualization tools for data insights

Day 9: GIS in M&E and Impact Evaluation

• Introduction to GIS for spatial analysis in M&E
• Spatial data preparation and mapping techniques
• Integrating GIS outputs with monitoring results
• Impact evaluation approaches and attribution strategies
• Practical data visualization and map production

Day 10: Reporting, Use of M&E Results & Learning

• Producing high-quality reporting for donors and partners
• Communicating findings to stakeholders effectively
• Lessons learned, adaptation, and organizational learning
• Action planning for strengthening M&E functions

Targeted Participants

This course is intended for professionals responsible for planning, monitoring, evaluating, or reporting on projects and programs, including:

• Monitoring & Evaluation Officers
• Program and Project Managers
• Project Implementation and Coordination Teams
• Planning, Research and Policy Analysts
• Donor Compliance and Reporting Staff
• NGOs, INGOs and Government Officials
• Data and Information Management Specialists
• Consultants supporting project performance and accountability

Software & Tools

Participants will get exposure to:

• Mobile data collection tools (e.g., ODK/KoBo/EpiCollect)
• Statistical analysis tools (SPSS, Stata, or R)
• GIS software for spatial mapping and analysis
• Dashboards and data visualization tools (Power BI)