Monitoring and evaluation is part of everyday programme management and are critical to the success of projects/ programmes. Without an effective M&E system we would be unable to track progress, make adjustments, discover unplanned effects of programmes, or judge the impact that we have made on the lives of those with whom we are working.  M&E helps individuals and teams to be accountable to stakeholders through information sharing and developing a complaints or feedback mechanism which can help to guide programme implementation

This course delivered by our practitioners with extensive participatory field experience, this is the leading M&E course for development professionals. Those responsible for project or programme-level M&E benefit from the latest M&E thinking and practice, including results approaches. This course will enable you to bring the learning into practice and to understand the difference between data, information and knowledge which is a key aspect to ensure strategic decision making.

Training objectives 

• To help our participant decide what and how to monitor with different stakeholders
• To clarify key results at the programme-level using logic models
• Help the participants to plan a project using the logical framework
• Help participants develop indicators and targets
• Training participatory methods for data collection and analysis
• To train participants with skills of how to design and manage evaluations
• Help participants how to use M&E findings to stimulate learning, improvement and stakeholder buy-in.
• Train Participants on how to develop and work with a practical M&E system

TRAINING CONTENTS

Module 1: Introduction Monitoring & Evaluation

• 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
• Monitoring, Evaluation, Accountability and Learning (M&E) overview
• Introduction to M&E
• M&E Components
• Purposes and functions of M&E
• M&E approach
• How M&E changes M&E
• Challenges to M&E

Module 2: Frameworks and M&E Cycle

• Frameworks and approaches informing M&E
• The language used in M&E
• The M&E cycle
• Exploring key elements of a M&E plan
• Defining indicators
• Designing, implementation and management of a M&E framework

 Module 3: M&E Planning and Budgeting

• M&E planning
• Planning and budgeting of M&E
• Planning and Budgeting relationship.
• Tools for planned monitoring and evaluation activities
• How do I get started?- Practical’s and application
• Identifying project/programme goals.
• Identifying project/programme indicators and targets
• Selecting data collection methods and data sources for prioritised indicators in your MEAL plan
• Decide upon your data analysis, quality assurance/validation and management strategy.
• Identify your strategy for reporting and disseminating data.
• M&E Budgeting
• Activities based M&E budgeting
• Components of the Budget
  Exercise: M&E Plan and corresponding budget

Module 4: Accountability and Learning

• Meaning of accountability mean in practice
• Aspects of accountability
• Importance of Accountability
• Information sharing
• Participation
• Handling Complains
• Learning and its role

Module 5: Baseline and evaluation design and management

• The purpose and use of baselines and evaluations
• Purpose and use of needs assessments, situation analysis,
• Baselines, evaluations and real-time reviews
• Importance of baseline for monitoring and evaluation
• Steps in planning and undertaking baselines and evaluations

Module 6: Survey Planning and Implementation Types of surveys

• The survey design and process
• Methods of survey sampling and determining the Sample size
• Data collection techniques and tools
• Designing survey questionnaires
• Pretesting research tools for Validity and Reliability
• Conducting the survey
• After the survey
  Exercise: Planning for a survey

 Module 7: M&E Data Collection: Mobile Based Data Collection (ODK)

• Introduction to mobile phone data collection
• Advantages and challenges of Mobile Applications
• Components of Open Data Kit (ODK)
• Install ODK Collect into mobile devices
• Designing and creating Forms
• ODK Aggregate Server

    Exercise: Mobile Based Data Collection using ODK

 Module 8: Data quality Management, Tabulation and graphical presentation of data (STATA/SPSS/Stata/R)

• Data quality Management
• Types of variables (Numerical, discrete variables, dummy variables,
• Entering categorical and continuous data
• Defining and labeling variables
• Validation and Sorting variables
• Transforming, recoding and computing variables
• Tabulation and graphical presentation of data
• Descriptive Statistics
• Frequency tables
• Tables for categorical data
• Graphs and charts
  Exercise: Data Management, Graphing and Tabulations