Course Details

Effective Monitoring and Evaluation For Public-Funded Programs Training Course

INTRODUCTION

The Monitoring and Evaluation (M&E) for Public-Funded Programs Training Course is designed to provide public sector professionals, program managers, and development practitioners with the essential tools and methodologies for effectively monitoring and evaluating programs funded by public resources. Given the critical role of public funds in driving social, economic, and infrastructural development, it is vital to ensure that these funds are used efficiently, transparently, and in alignment with intended outcomes.

This course focuses on building robust M&E systems that track program progress, assess impact, and ensure accountability to stakeholders, including government agencies, funders, and the public. Participants will gain practical skills in designing M&E frameworks, setting performance indicators, and conducting both qualitative and quantitative evaluations to measure the success of public-funded programs.

TARGET AUDIENCE

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

DURATION

10 days.

OBJECTIVES

By the end of this course, participants will be able to:

• Understand the Role of M&E in Public Sector Programs
  Gain a comprehensive understanding of how Monitoring and Evaluation contribute to the success of public-funded programs, ensuring accountability, transparency, and performance improvement.
• Design Effective M&E Frameworks
  Develop comprehensive M&E frameworks tailored to public-funded projects, with a focus on setting clear objectives, performance indicators, and evaluation criteria.
• Track Progress and Performance Indicators
  Learn how to establish and monitor key performance indicators (KPIs) to measure the progress and effectiveness of public-funded programs.
• Conduct Quantitative and Qualitative Evaluations
  Gain skills in applying both quantitative and qualitative data collection and analysis techniques to evaluate program outcomes and impact.
• Ensure Accountability and Transparency in Public Spending
  Use M&E tools to monitor the use of public funds, ensuring that resources are allocated efficiently and effectively, and in compliance with financial regulations.
• Assess Program Impact and Sustainability
  Evaluate the short-term and long-term impacts of public-funded programs on target beneficiaries and ensure that programs are sustainable beyond the funding period.
• Use M&E Data for Policy and Decision-Making
  Leverage M&E findings to inform policy development, improve program design, and enhance resource allocation, ensuring better service delivery and outcomes.
• Build Capacity for Continuous Learning and Improvement
  Foster a culture of continuous improvement by using M&E insights to make informed adjustments to ongoing programs and to design better future initiatives.
• Develop Clear and Comprehensive M&E Reports
  Prepare and present M&E reports that effectively communicate program performance, challenges, and recommendations to government officials, funders, and the public.
• Adapt M&E Practices to Public Sector Challenges
  Tailor M&E practices to address the specific challenges faced by public-funded programs, such as political influence, resource limitations, and stakeholder diversity.

COURSE CONTENT

Module 1: Basic Concepts in monitoring and evaluation

• Introduction to M&E
• M&E and the project/program 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: Performance M&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 program 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, recording 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 software (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

CERTIFICATION

Upon successful completion of this training, participants will be issued with a Macskills Training and Development Institute Certificate

TRAINING VENUE

Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com