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Training on Effective Monitoring&Evaluation for Public and Donor-Funded programmes (20th Feb-3rd Mar


This training introduces key principles and practices in the management, monitoring and evaluation of international development projects, and equips participants with project management, Monitoring and Evaluation skills.The training blends planning and management principles with skill-development related to data collection and analysis.

This training is intended for Project Management Officials, government officials, department heads and programme managers; policy makers and programme implementers; development practitioners and activists and NGO and CSO members, University Researchers among others.

10 days.


The training is aimed at introducing and equipping participants with skills in;
Understand the concepts of monitoring and evaluation
Designing M&E systems and frameworks
Understand the framework
Preparation and implementation of monitoring and evaluation
Determine relevant indicators and data necessary for evaluation
Defining realistic expected results based on appropriate analysis
Monitoring progress toward results and resources consumed with the use of appropriate indicators

Module 1:Basic Concepts in monitoring and evaluation
Introduction to M&E
M&E and the project/programme cycle
Importance of M&E
Purposes and uses of M&E
Identifying gaps in M&E
Barriers to effective M&E
Introduction to Problem Analysis

Module 2: Results-based M&E
Definition of Result Based M&E
Why results-based management?
Results based M&E outline and cycle
How to use results-based management M&E
Result Based M&E tools
The performance Indicators and performance measurement framework
Steps to complete a Performance Measurement Framework

Module 3: Readiness Assessment & Determination of Outcomes for M&E

Readiness Assessment

M&E readiness assessment and its significance
Aspects of M&E readiness assessment
How to conduct Readiness Assessment
Determination of Outcomes

The Importance of Outcomes
Issues to Consider in Choosing Outcomes to Monitor and Evaluate
Selecting Key Performance Indicators to Monitor Outcomes
How to choose Good Performance Indicators
The Use of Proxy Indicators
The Pros and Cons of Using Predesigned Indicators
Constructing Indicators
Setting Indicators

Module 4: Baseline Assessment
What is baseline assessment?
Importance of baseline assessment
Setting baselines and indicators
Gathering data on baseline Indicators
Use of Baseline data on indicators
Examples of baseline study

Module 5: M&E systems and Frameworks
Principles of M&E system
Identifying the purpose and scope of the M&E system
Design & set up of M&E system
Practical on designing the M&E system
Definition of M&E frameworks
Developing and implementing M&E frameworks
Linking M&E frameworks to indicators

Module 6: PerformanceM&E for Results
Types and Levels of Monitoring
Links between Implementation Monitoring and Results Monitoring
Needs of Every Results-Based Monitoring System
Evaluation techniques
Gender disintegration in M&E planning
Communicating M&E findings
The Use of Monitoring and Evaluation Findings
Assessing programme impact

Module 7: Statistical Concepts, Research methodology, Data collection and Management

Meaning Qualitative and quantitative data
Types of variables (Numerical, discrete variables, dummy variables,
Determination of research designs
Sampling techniques and sample size
Designing research tools, Data collection techniques
Entering categorical and continuous data
Defining and labeling variables
Validation and Sorting variables
Transforming, recoding and computing variables

Module 8: Tabulation and graphical presentation of data
Descriptive Statistics
Frequency tables
Tables for categorical data
Graphs and charts

Module 9: Data analysis and interpretation for M&E

Hypothesis testing
Comparing Means.
Regression and Correlation analysis
Interpreting the data
Introduction to analyzing qualitative data and qualitative data analysis softwares (NVIvo)

Module 10: Mobile Based Data Collection (ODK) and mapping

Introduction to mobile phone data collection
Advantages and challenges of Mobile Applications
Components of Open Data Kit (ODK)
ODK platforms and formats
Downloading and install ODK Collect into mobile devices or usingAPK file
Designing and creating Forms
ODK Aggregate Server
Transform data and Using GPS Coordinates for Mapping/Visualizing


This training can also be customized for your institution upon request. You can have it delivered your preferred location.


The course fee is 2100 which covers the course tuition, training materials, two break refreshments, lunch, and study visits.

Organisation Versed Professional Services Limited

Country: Kenya