15 Topics
5 Days
45 Sessions
Programme Overview
Training Description
Who Should
- NGO and Non-Profit Professionals
- Government and Public Sector Officials
- Policy and Planning Officers
- Strategy and Performance Management Professionals
- PMO Managers and Officers
- Risk Management Professionals
- Finance and Programme Accountability Professionals
- Donor-funded Project Managers
- Community Development Professionals
- Consultants and Development Practitioners
- Professionals responsible for project performance and results measurement
Session Objectives
- • Understand the Fundamentals of M&E: Gain an in-depth understanding of the role of Monitoring and Evaluation in project management and development.
- • Design M&E Frameworks and Systems: Learn how to create M&E frameworks, logframes, and results-based management systems to measure project success and impact.
- • Collect and Analyze Data: Understand how to collect both qualitative and quantitative data, utilize different tools and techniques, and analyze this data to make informed decisions.
- • Develop Indicators and Baselines: Learn how to develop relevant, SMART (Specific, Measurable, Achievable, Relevant, Time-bound) indicators for monitoring progress and measuring success.
- • Implement Monitoring and Evaluation Plans: Acquire the skills to execute M&E plans and systems, ensuring continuous tracking of project progress, outputs, and outcomes.
- • Evaluate Project Impact: Learn to assess the short- and long-term impacts of projects on beneficiaries and communities, and interpret results to inform future projects and policies.
- • Report and Communicate M&E Results: Master the skills required to effectively communicate M&E findings to stakeholders, donors, and decision-makers through reports, presentations, and other documentation.
- • Ensure Accountability and Learning: Learn the importance of accountability in M&E and how to use evaluation findings for organizational learning and improving project implementation strategies.
About the Course
Effective Monitoring and Evaluation (M&E) enables organisations to determine whether projects are being implemented as planned, whether resources are being used efficiently, and whether intended outputs, outcomes, and impacts are being achieved. The course provides participants with practical tools for developing M&E frameworks, indicators, data collection systems, performance measurement approaches, evaluation designs, and evidence-based reporting.
Participants will learn how to establish results-based M&E systems, develop logical frameworks and theories of change, formulate SMART indicators, collect and analyse reliable data, track project performance, evaluate outcomes and impacts, and use findings to improve project decision-making.
Curriculum & Topics
15 Topics | 45 Sessions
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Workshop 1.1:
Overview of M&E concepts, principles, and importance in project management
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Workshop 1.2:
The role of M&E in project success and sustainability
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Workshop 1.3:
Key terms and definitions in M&E
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Workshop 2.1:
Understanding the components of an M&E framework
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Workshop 2.2:
Designing an effective M&E system for projects
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Workshop 2.3:
Setting up a results-based M&E framework
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Workshop 3.1:
The relationship between project design and M&E
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Workshop 3.2:
Developing an M&E plan: objectives, strategies, and tools
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Workshop 3.3:
Formulating the project theory of change
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Workshop 4.1:
Understanding the Logical Framework Approach (LFA)
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Workshop 4.2:
Creating logical frameworks and linking indicators to project goals
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Workshop 4.3:
Setting up the project's objectives, outputs, outcomes, and impacts
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Workshop 5.1:
Defining and selecting indicators for project monitoring
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Workshop 5.2:
Designing SMART indicators (Specific, Measurable, Achievable, Relevant, Time-bound)
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Workshop 5.3:
Setting baseline data and benchmarks
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Workshop 6.1:
Types of data: qualitative vs. quantitative
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Workshop 6.2:
Data collection techniques: surveys, interviews, focus groups, and participatory methods
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Workshop 6.3:
Tools for data collection and sampling methods
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Workshop 7.1:
Organizing, cleaning, and storing M&E data
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Workshop 7.2:
Ensuring data quality: accuracy, reliability, and validity
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Workshop 7.3:
Using software tools for data management (e.g., Excel, SPSS, Access)
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Workshop 8.1:
Methods for analyzing data (qualitative and quantitative analysis)
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Workshop 8.2:
Interpreting results to assess project performance
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Workshop 8.3:
Statistical tools for data analysis
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Workshop 9.1:
Monitoring project inputs, activities, and outputs
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Workshop 9.2:
Tracking progress against indicators and timelines
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Workshop 9.3:
Using tools for tracking project milestones
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Workshop 10.1:
The role of midterm evaluations in project management
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Workshop 10.2:
Planning and conducting final evaluations
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Workshop 10.3:
Assessing outcomes and impacts through evaluations
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Workshop 11.1:
Writing clear, concise M&E reports for stakeholders
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Workshop 11.2:
Effective presentation of findings through visual aids and reports
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Workshop 11.3:
Communicating M&E results to different audiences
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Workshop 12.1:
M&E in project planning, implementation, and closure phases
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Workshop 12.2:
Continuous monitoring and adaptive management
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Workshop 12.3:
Post-project evaluations for learning and knowledge transfer
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Workshop 13.1:
Using M&E data for project decision-making
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Workshop 13.2:
Leveraging M&E data for course correction and improving implementation
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Workshop 13.3:
Learning from M&E data to inform future projects
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Workshop 14.1:
Ensuring accountability through M&E
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Workshop 14.2:
Monitoring project expenditures and resource utilization
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Workshop 14.3:
Strengthening transparency with stakeholders and communities
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Workshop 15.1:
Common challenges faced during M&E implementation
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Workshop 15.2:
Overcoming data collection, analysis, and reporting barriers
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Workshop 15.3:
Best practices for conducting effective M&E in development projects
