Course Outline

Module 1: Introduction to Results Based Project Management

• Fundamentals of Results Based Management
• Why is RBM important?
• Results based management vs traditional projects management
• RBM Lifecycle (seven phases)
• Areas of focus of RBM

Module 2: Fundamentals of Monitoring and Evaluation

• Definition of Monitoring and Evaluation
• Why Monitoring and Evaluation is important
• Key principles and concepts in M&E
• M&E in project lifecycle
• Participatory M&E

Module 3: Design of Results in Monitoring and Evaluation

• Results chain approaches
• M&E causal pathway
• Principles of planning, monitoring and evaluating for results

Module 4: M&E Frameworks

• Conceptual Framework
• Results Framework
• Logic Model
• Logical Framework
• Linking M&E Framework and M&E planning

Module 5: M&E Indicators

• Indicators definition
• Indicator metrics
• Linking indicators to results
• Indicator matrix
• Tracking of indicators

Module 6: Logical Framework Approach

• LFA – Analysis and Planning phase
• Design of logframe
• Risk rating in logframe
• Horizontal and vertical logic in logframe
• Using logframe to create schedules: Activity and Budget schedules
• Using logframe as a project management tool

Module 7: Theory of Change

• Overview of theory of change
• Developing theory of change
• Theory of Change vs Log Frame
• Case study: Theory of change

Module 8: M&E Systems

• What is an M&E System?
• Elements of M&E System
• Steps for developing Results based M&E System

Module 9: M&E Planning

• Importance of an M&E Plan
• Documenting M&E System in the M&E Plan
• Components of an M&E Plan-Monitoring, Evaluation, Data management, Reporting
• Using M&E Plan to implement M&E in a Project
• M&E Plan vs M&E Framework vs M&E System

Module 10: Baseline Survey in Results based M&E

• Importance of baseline studies
• Process of conducting baseline studies
• Baseline study vs evaluation

Module 11: Project Performance Evaluation

• Process and progress evaluations
• Evaluation research design
• Evaluation questions
• Evaluation report Dissemination

Module 12: Impact Evaluation

• Why impact evaluation is important
• Project attribution
• Counterfactual in IE
• Analysis techniques in IE;DID, PSM

Module 13: M&E Data Management

• Different sources of M&E data
• Qualitative data collection methods
• Quantitative data collection methods
• Participatory methods of data collection
• Data Quality Assessment

Module 14: M&E Results Use and Dissemination

• Stakeholder’s information needs
• Use of M&E results to improve and strengthen projects
• Use of M&E Lessons learnt and Best Practices
• Organization knowledge champions
• M&E reporting format
• M&E results communication strategies