Home→Courses→Developing Monitoring & Evaluation (M&E) Plans Training Course
Monitoring and Evaluation
Developing Monitoring & Evaluation (M&E) Plans Training Course
Introduction
Monitoring and Evaluation (M&E) Plans are the backbone of results-based management, evidence-driven decision-making, and accountability frameworks across development, humanitarian, and corporate programs. A well-designed M&E plan enables organizations to systematically track performance, measure outcomes, assess impact, and generate actionable insights aligned with logframes, theory of change, and Sustainable Development Goals (SDGs). In an era of adaptive management, data transparency, and donor compliance, robust M&E systems are no longer optional they are mission-critical.
Developing Monitoring & Evaluation (M&E) Plans Training Course equips participants with practical tools, methodologies, and real-world case studies to design, implement, and manage comprehensive M&E plans. The course emphasizes SMART indicators, data quality assurance (DQA), learning loops, digital data collection, and impact measurement. Participants will strengthen their capacity to design M&E plans that enhance program effectiveness, organizational learning, and strategic decision-making across sectors including development, humanitarian response, public policy, and social impact initiatives.
Programme Curriculum
Developing Monitoring & Evaluation (M&E) Plans Training Course
Introduction
Monitoring and Evaluation (M&E) Plans are the backbone of results-based management, evidence-driven decision-making, and accountability frameworks across development, humanitarian, and corporate programs. A well-designed M&E plan enables organizations to systematically track performance, measure outcomes, assess impact, and generate actionable insights aligned with logframes, theory of change, and Sustainable Development Goals (SDGs). In an era of adaptive management, data transparency, and donor compliance, robust M&E systems are no longer optional they are mission-critical.
Developing Monitoring & Evaluation (M&E) Plans Training Course equips participants with practical tools, methodologies, and real-world case studies to design, implement, and manage comprehensive M&E plans. The course emphasizes SMART indicators, data quality assurance (DQA), learning loops, digital data collection, and impact measurement. Participants will strengthen their capacity to design M&E plans that enhance program effectiveness, organizational learning, and strategic decision-making across sectors including development, humanitarian response, public policy, and social impact initiatives.
Course Duration
5 days
Course Objectives
By the end of this course, participants will be able to:
Design comprehensive Monitoring and Evaluation Plans
Apply Results-Based Management (RBM) principles
Develop clear Theory of Change and Logical Frameworks
Formulate SMART, gender-sensitive indicators
Align M&E plans with donor requirements and compliance standards
Integrate SDG-aligned indicators into project M&E
Establish data collection and data management systems
Apply data quality assurance (DQA) frameworks
Use M&E findings for adaptive management
Conduct performance monitoring and outcome tracking
Strengthen learning, accountability, and transparency
Utilize digital M&E tools and dashboards
Communicate results through evidence-based reporting
Target Audience
Monitoring & Evaluation Officers and Specialists
Project and Program Managers
NGO and INGO Technical Staff
Government Planning & Policy Officers
Donor-Funded Project Teams
Research and Learning Professionals
Social Impact and CSR Managers
Consultants and Development Practitioners
Course Modules
Module 1: Foundations of Monitoring & Evaluation
M&E concepts and global standards
Results-Based Management (RBM) principles
Difference between monitoring, evaluation, and learning
Role of M&E in accountability and performance
Case Study: Donor-funded health project improving service delivery
Module 2: Theory of Change & Logical Frameworks
Developing a robust Theory of Change
Problem analysis and results chains
Logframe components and assumptions
Risk analysis and mitigation strategies
Case Study: Education program improving learning outcomes
Module 3: Indicators & Performance Measurement
Output, outcome, and impact indicators
SMART and disaggregated indicators
Gender, equity, and inclusion metrics
Indicator reference sheets
Case Study: Gender-sensitive indicators in livelihoods projects
Module 4: Data Collection & Management
Quantitative and qualitative data methods
Digital data collection tools (Kobo, ODK)
Sampling techniques and baseline studies
Data storage and security protocols
Case Study: Mobile data collection in humanitarian response
Module 5: Data Quality Assurance (DQA)
Data quality dimensions (validity, reliability, timeliness)
Verification and validation techniques
Data audits and spot checks
Ethical data collection practices
Case Study: Improving data credibility in multi-country programs
Module 6: Monitoring Systems & Reporting
Designing monitoring schedules and plans
Performance dashboards and scorecards
Donor reporting formats and compliance
Visualization and data storytelling
Case Study: Real-time dashboards for program tracking
Module 7: Evaluation Methods & Learning
Formative, summative, and impact evaluations
Mixed-methods evaluation approaches
Learning agendas and knowledge management
Utilizing findings for adaptive management
Case Study: Mid-term evaluation influencing project redesign
Module 8: Using M&E for Decision-Making
Evidence-based decision-making frameworks
Feedback loops and adaptive programming
Communicating results to stakeholders
Sustainability and scale-up strategies
Case Study: Using evaluation results to inform policy reform
Training Methodology
This course employs a participatory and hands-on approach to ensure practical learning, including:
Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.
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.