Monitoring and Evaluation (M&E) is essential for organisations—from development organisations, NGOs, and government, to private sector businesses—to track progress, demonstrate results, ensure accountability, and drive adaptive improvements.

This practical course equips participants with the knowledge, tools, and skills to design, implement, and utilise effective M&E systems in diverse Cambodian and regional contexts.

Through interactive sessions, real-life case studies, group exercises, and hands-on application, trainees will gain practical experience in building M&E frameworks, collecting and analysing data, and using findings to enhance project performance.

Training Course Details

The course is designed to provide trainees with practical knowledge and skills in project monitoring and evaluation through exercises, case studies, and real-world applications.

After completing this course, you will be able to:

Understand core M&E concepts, frameworks, and their integration into the project lifecycle
Develop logical frameworks, theories of change, and SMART indicators for results-based monitoring
Apply practical data collection methods (quantitative and qualitative) and ensure data quality
Set up monitoring systems, conduct basic evaluations, and analyse data using accessible tools (e.g., Excel)
Prepare effective reports, visualisations, and use M&E findings for decision-making, learning, and stakeholder communication

Who is this course for?

Project Managers / Program Managers
M&E Officers / Specialists
Development Practitioners / NGO Staff
Government Officers / Donor-Funded Project Teams
Business Owners / Entrepreneurs
Operations / Supply Chain Managers
Anyone interested in strengthening practical M&E skills across sectors (social development, health, education, environment, infrastructure, private business, etc.)

The Course is conducted in English

Agenda

Day 1: Foundations of Monitoring & Evaluation

Module 1: Introduction to M&E

Monitoring vs. Evaluation: Definitions, purposes, and differences
Role of M&E in project lifecycle and results-based management
Importance for accountability, learning, and adaptive management in Cambodian contexts

Module 2: Planning for Effective M&E

Theory of Change and development of Results Framework
Logical Framework Approach (Logframe): Goals, outcomes, outputs, indicators, assumptions
Stakeholder analysis and engagement in M&E processes
Defining SMART indicators and performance monitoring plans

Module 3: Practical Data Collection

Quantitative and qualitative methods: Surveys, interviews, focus groups, observation
Baseline studies, sampling, and data collection tools
Group exercise: Develop indicators and a simple data collection plan for a real or hypothetical project

Day 2: Implementation, Analysis, Reporting & Utilisation

Module 4: Monitoring Systems in Action

Setting up tracking tools, dashboards, and routine monitoring
Data quality assurance (DQAs), field verification, and management
Real-time reporting, risk monitoring, and adaptive adjustments

Module 5: Evaluation Basics

Types of evaluation (formative, summative, mid-term, impact)
Key evaluation criteria (relevance, effectiveness, efficiency, sustainability)
Using findings for learning, decision-making, and reporting

Module 6: Data Analysis, Visualisation & Reporting

Basic analysis techniques and tools (Excel for summaries, charts, pivot tables)
Creating visualisations and simple dashboards
Writing clear M&E reports and communicating results to stakeholders
Hands-on exercise: Analyse sample data, create visuals, and draft a summary report

Instructor

With over 16 years of dedicated experience in Monitoring, Evaluation, Research, and Learning (MERL), our trainer is a recognised specialist in driving evidence-based decision-making across Cambodia’s development landscape.

He has designed and implemented robust M&E frameworks for large-scale health, governance, and development programs funded by the World Bank, USAID, the EU, the Global Fund, and DFAT.

His technical expertise spans the full data lifecycle—from indicator development and digital platform deployment to rigorous quantitative and qualitative analysis using Excel and SPSS.

Throughout his career, he has led critical initiatives such as Data Quality Assessments (DQAs), field verification missions, and mixed-method evaluations that have directly informed program improvement.

Whether strengthening health systems, coordinating emergency responses, or managing harm reduction and nutrition programs, his work is defined by a commitment to generating credible evidence that stakeholders can trust.

Academic Experience

Our trainer holds a Master of Rural Development & Project Management and a Bachelor of Arts in Social Sciences from universities in Cambodia.

He has further strengthened his expertise through specialised professional certifications obtained across the region, including:

Monitoring & Evaluation for Development Results
Logical Framework Approach (LFA)
Advanced SPSS for Data Analysis
Effective Leadership & People Management
Health GIS for Mapping & Monitoring

This blend of academic grounding and regionally recognised technical training equips him with a comprehensive skill set to address complex development challenges.