Monitoring and Evaluation (M&E) for Project Management
Offered by
Benaadir Research, Consultancy & Evaluation Center (BRCE)
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LevelAll Levels
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Total Enrolled6
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Duration6 hours
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Last Updated12/01/2025
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CertificateCertificate of completion
Course Description
This course provides a practical and comprehensive introduction to Monitoring and Evaluation (M&E) within the field of Project Management. It equips learners with the knowledge and hands-on skills to design, plan, implement, and evaluate development or business projects effectively. The course integrates both theoretical frameworks and modern data-driven approaches using digital tools such as Kobo Toolbox, ODK, and Excel.
Participants will learn how to develop Problem Trees, Objective Trees, and Logical Frameworks (LogFrames), design M&E Plans, create data collection tools, and analyze project data for evidence-based decision-making. Through real-world case studies and project simulations, learners will gain the confidence to produce professional M&E reports and communicate results effectively to stakeholders.
What Will Be Learned?
By the end of the course, learners will be able to:
- Understand the principles, functions, and importance of M&E in project management.
- Develop Problem Trees, Objective Trees, and complete LogFrames for projects.
- Design and manage M&E systems, including setting baselines, indicators, and targets.
- Use digital data collection tools (Kobo Toolbox, ODK) for field data management.
- Perform data cleaning, descriptive analysis, and visualization using Excel.
- Produce clear and professional M&E reports and dashboards for decision-making.
- Apply ethical and quality control practices in data collection and reporting.
Who Can Learn This Course?
This course is designed for:
- Project Managers and M&E Officers in NGOs, government, or private sectors.
- Students and Researchers in development studies, economics, or project management.
- Development Practitioners and Data Analysts who wish to strengthen their M&E capacity.
- Anyone interested in understanding how to measure and improve project performance through data-driven evaluation.
Pre-Requested (Prerequisite) Courses
Before joining this course, learners are recommended (but not required) to have basic knowledge in:
- Project Management Fundamentals
- Introduction to Research Methodology
- Excel for Data Analysis
(These skills help in understanding project indicators, data analysis, and reporting.)
Practical Projects and Hands-On Activities
Throughout the course, learners will engage in practical, real-world projects such as:
- Developing a Complete LogFrame Matrix for a sample Education or Health project.
- Designing an M&E Plan including indicators, data sources, and targets.
- Creating XLSForm surveys for Kobo Toolbox and ODK data collection.
- Cleaning and analyzing M&E data using Excel (Pivot Tables, Charts, Dashboards).
- Developing an M&E Report (Progress or Evaluation type) aligned with donor formats (e.g., EAQIP).
- Building an Interactive Dashboard in excel for data visualization and communication.
Course Duration
4–6 weeks (self-paced learning with practical assignments and mentorship support).
Course Curriculum
Section 1: Introduction to Monitoring and Evaluation
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Lesson 1.1: What is Monitoring and Evaluation?
04:19 -
Lesson 1.2: Importance of M&E in Project Management
04:42 -
Lesson 1.3: Key Concepts – Inputs, Outputs, Outcomes, and Impact
04:56 -
Lesson 1.4: M&E Cycle and Terminologies
04:16
Section 2. Problem Tree, Objective Tree Analysis for Project Planning and LogFrame Development
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Lesson 2.1. Understanding the Problem Tree
12:35 -
Lesson 2.2. Understanding the Objective Tree
08:23 -
Lesson 2.3. From Problem Tree to Objective Tree to LogFrame
09:35
Section 3: The Logical Framework (LogFrame)
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Lesson 3.1: Understanding Project Logic – Goal, Purpose, Outputs, Activities
06:43 -
Lesson 3.2: Developing Indicators (SMART Indicators)
08:07 -
Lesson 3.3: Means of Verification and Assumptions
06:16 -
Lesson 3.4: Building a Complete LogFrame Matrix
08:29
Section 4: M and E Planning and Design
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Lesson 4.1: Steps in Designing an M&E System
03:52 -
Lesson 4.2: Developing an M&E Plan
03:26 -
Lesson 4.3: Setting Baselines and Targets
03:34 -
Lesson 4.4: Stakeholder Roles and Responsibilities
03:11
Section 5: Data Collection Methods and Tools
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Lesson 5.1: Quantitative vs Qualitative Data
06:05 -
Lesson 5.2: Data Collection Instruments
04:47 -
Lesson 5.3: Generating Survey Questions
13:16 -
Lesson 5.4: Converting Survey Questions into XLSForm
05:55 -
Lesson 5.5: Using KoboToolbox for Data Collection
14:48 -
Lesson 5.6: Using ODK (Open Data Kit) for Mobile Data Collection
05:56 -
Lesson 5.7: Data Quality Control and Validation
03:35 -
Lesson 5.8: Ethical Considerations in Data Collection
02:43
Section 6: Data Management, Analysis
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Lesson 6.1: Data Cleaning and Validation in Excel
15:56 -
Lesson 6.2: Basic Descriptive Analysis using Excel (Charts, Tables, and Graphs)
25:23 -
Lesson 6.3 – Pivot Tables and charts for M&E Insights
27:02 -
Lesson 6.4 – Building Excel Dashboards for M&E
15:39
Section 7: M&E Reporting and Communication
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Lesson 7.1: Types of M&E Reports (Progress, Evaluation, and Impact Reports)
03:03 -
Lesson 7.2: Writing an Effective M&E Report
03:06 -
Lesson 7.3: Communicating Findings to Stakeholders
02:43 -
Lesson 7.4 – EAQIP Report and Analysis
15:52
Student Ratings & Reviews
About the instructors
Offered by
BRCE waa xarun ka shaqaysa horu marinta iyo barashada arimaha la xariira xirfadaha Casriga ah oo ku salaysan Technology-ga.
Special thanks to my teacher, Eng. Abdinour Abukor, for his excellent guidance, motivation, and practical teaching approach throughout the course. His support and expertise made the learning experience both engaging and impactful. I look forward to applying these skills to improve program performance and promote data-driven decision-making in my future work.