Training on Project Monitoring and Evaluation with Data Management and Analysis

Module 1: Introduction to Project Management

• Introduction to project management
• Project cycle management
• Triple constraints in project management
• M&E in project management
• Case Study: Project delay due to poor scope and time management
• Practical: Mapping a simple project lifecycle

Module 2: Introduction to Monitoring & Evaluation

• Definition of monitoring and evaluation
• Importance of M&E
• Key principles and concepts in M&E
• Monitoring and evaluation processes
• Case Study: Weak M&E leading to poor project performance tracking
• Practical: Identifying M&E activities in a project

Module 3: Results-Based Management

• Introduction to results-based management
• Steps in results-based management
• Application in project design
• Results chain approach
• Case Study: Donor-funded project improved using RBM approach
• Practical: Developing a basic results chain

Module 4: Project Analysis & Logic Design

• Problem analysis
• Objectives analysis
• Strategy analysis
• Project logic design
• M&E causal pathway
• Results levels: goal, outcomes, outputs
• Formulating activities
• Case Study: Poor problem analysis leading to project failure
• Practical: Developing problem tree and objectives tree

Module 5: Project Indicators & M&E Tools

• Introduction to indicators
• Indicator development
• Predefined indicators
• Linking indicators to results
• Indicator matrix
• Performance tracking
• Logical framework completion
• Theory of change development
• Performance measurement framework
• Case Study: Weak indicators affecting project reporting quality
• Practical: Building an indicator matrix and logframe

Module 6: Project Monitoring, Reporting & M&E Plans

• Introduction to project monitoring
• Types of monitoring
• Monitoring strategies and tools
• Introduction to reporting
• Key elements of reporting
• Reporting schedules
• M&E system and M&E plan
• Components and implementation of M&E plan
• Case Study: Poor reporting delays donor accountability
• Practical: Drafting an M&E plan

Module 7: Baseline Studies, Evaluation & Impact Evaluation

• Importance of baseline studies
• Conducting baseline studies
• Baseline vs evaluation
• Introduction to project evaluation
• Types and criteria of evaluations
• Evaluation questions and matrix
• Evaluation reporting
• Introduction to impact evaluation
• Impact evaluation designs and attribution
• Case Study: Baseline study improving program targeting accuracy
• Practical: Designing evaluation questions and matrix

Module 8: Learning, Gender & Data Collection

• Introduction to learning in M&E
• Lessons learned and best practices
• M&E results dissemination
• Gender mainstreaming in M&E
• Engendering logframe
• Gender-sensitive tools and data collection
• Data sources: primary and secondary
• Qualitative, quantitative, and participatory methods
• Data triangulation
• Case Study: Gender gaps identified through M&E improving project design
• Practical: Developing gender-sensitive indicators

Module 9: Mobile Data Collection & Data Management

• Introduction to mobile data collection
• Setting up MDC systems
• Server setup
• Design of data collection forms
• Data cleaning and management
• Statistical data management
• Introduction to data types and variables
• Case Study: Real-time mobile data improving field monitoring
• Practical: Designing a mobile data collection form

Module 10: Data Analysis, Statistics & Visualization

• Introduction to statistics and data analysis
• Descriptive vs inferential statistics
• Data exploration: frequencies, cross-tabulations, univariate analysis
• Comparison tests: T-test, ANOVA, non-parametric tests
• Correlation analysis (Pearson & Spearman)
• Regression analysis (linear, multiple, logit, probit)
• Regression diagnostics
• Data visualization: pivot tables, graphs, charts, dashboards
• Case Study: Data-driven decision-making improving program outcomes
• Practical: Creating dashboards and running basic statistical analysis