Training Course on M and E Data Collection Tools and Methodologies

Course Overview
Accurate, timely, and relevant data is the foundation of effective Monitoring and Evaluation (M&E). This course provides a practical and in-depth exploration of data collection tools and methodologies essential for measuring project performance, tracking indicators, and informing decision-making.
Participants will learn how to select and apply appropriate data collection methods—both quantitative and qualitative—based on project objectives, indicators, and context. The course covers the entire data collection cycle, including tool design, pre-testing, fieldwork planning, digital data collection, and ethical considerations. It also introduces data quality assurance measures and participatory approaches that enhance stakeholder engagement in the data process.
By the end of the course, participants will be equipped with the technical and practical skills to design robust data collection plans and implement them effectively to support high-quality M&E systems.
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Course Objectives
By the end of this course, participants will be able to:
•Understand the principles and processes of M&E data collection.
•Identify appropriate data collection methods for different indicators and contexts.
•Design effective data collection tools (e.g., questionnaires, interview guides, observation checklists).
•Implement participatory and digital data collection techniques.
•Ensure data validity, reliability, and ethical standards.
•Manage fieldwork and ensure high-quality data for M&E purposes.
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Target Audience
This course is ideal for:
•M&E officers and assistants
•Data collectors and field enumerators
•Project and program managers
•NGO, government, and donor agency staff involved in M&E
•Researchers and development practitioners involved in project assessments
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Training Methodology
•Expert-led technical sessions and tool development workshops
•Hands-on design of data collection instruments
•Simulation of field data collection and digital tools (e.g., KoboToolbox, ODK, SurveyCTO)
•Case studies from real projects across sectors
•Group discussions and peer reviews of data tools
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Expected Outcomes
Participants will leave the course with practical skills and confidence to design, pre-test, and deploy context-appropriate data collection tools and methodologies. They will also be able to ensure data quality and ethical standards throughout the M&E data collection process.