Monitoring & Evaluation Accountability & Learning (MEAL)
Created by NGOs for NGOs, MEAL DPro improves MEAL skills across the humanitarian and development sector. This course covers the essential skills of NGO monitoring, NGO evaluation, accountability and learning.
- Design logic models that later become the foundations of MEAL in projects. These tools include the Theory of Change, Results Frameworks, and Logical Frameworks (logframes).
- Plan for MEAL using practical tools that include Performance Management Plans, Indicator Performance Tracking Tables, Summary Evaluation Tables, etc.
- Collect MEAL data by using well-designed qualitative and quantitative data collection tools, appropriate sampling methods, and recommended data management practices.
- Analyze MEAL data by using quantitative (descriptive and inferential) statistics and qualitative methods to analyze, interpret and visualize MEAL data.
- Use MEAL data to inform project decisions, communicate with stakeholders and practice adaptive management.
- Project team members responsible for program implementation. This includes project managers, program managers, and other project associates.
- This course also provides an opportunity for more experienced team members to strengthen their understanding of specific MEAL topics. This includes entry-level MEAL specialists and more experienced MEAL staff who can use MEAL DPro resources to create a common language for MEAL systems among colleagues and partners.
The following topics will be covered
Module One:
Start with an overview of MEAL.
Introduction to MEAL in Projects
Components of MEAL, and the MEAL cycle
Benefits of a strong MEAL system
The relationship between MEAL and project management
Ethical standards and cross-cutting principles of MEAL
Module Two:
The focus begins with logic models.
Logic Models
The role of logic models in establishing a strong foundation for MEAL
Theory of change
Results framework
Logical frameworks (logframes)
Module Three:
Look at how to build a logframe.
Building a Logframe
Vertical and horizontal logic of logframe
SMART indicators
Measurement methods
Assumptions in project logic models
Module Four:
Dive into how to plan for MEAL; start with M&E tools.
Planning for MEAL Part 1: Monitoring and Evaluation Planning Tools
Performance monitoring plans
Data flow maps
Indicator performance tracking table
Evaluation summary table
Evaluation terms of reference
Module Five:
Continue with accountability and learning tools.
Planning for MEAL Part 2: Accountability and Learning Planning Tools
Communication plans
Learning plans
Module Six:
Find out to collect and manage MEAL data.
Collecting MEAL Data
Data collection tools
Explain the basic principles of sampling
Data management
Databases and data entry
Data quality
Module Seven:
We show you how to analyze MEAL data
Analyzing MEAL Data
Quantitative data analysis
Descriptive statistics
Inferential statistics
Qualitative data analysis
Data interpretation
Module Eight:
Now you’ve got all the data, we show you what to do with it!
Using MEAL Data
Adaptive management
Data visualization
MEAL reporting and communication
Learning from MEAL data
Join Our Professional Humanitarian Training Programs
Website: www.globalhumanitarianinstitute.org