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Advanced Monitoring and Evaluation for Development Results Course

By: Foscore Development Center


19 - 30 Jul, 2021  12 days

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USD 2,000

Venue: Foscore Development Center, Nairobi, Kenya

Other Dates

Venue Date Fee  
Foscore Development Center, Nairobi, Kenya, Kenya 06 - 17 Sep, 2021 USD2000
Foscore Development Center, Nairobi, Kenya, Kenya 25 Oct - 05 Nov, 2021 USD2000

This 2-week training is design to impact job-oriented skills for monitoring and evaluation that are highly demanded in the development industry. After following this course, you will be capable of designing and managing Monitoring and Evaluation Systems which meet the standards of donor agencies. It is aimed at providing an overview of monitoring and evaluation methods for development results with practical applications of tools and methods. This course will provide participants with M and E tools, techniques and resources needed for planning, organizing, and/or managing programs and projects. Through exercises and group work, participants will learn the links between results-based measurement, monitoring and program evaluation. Time will be allocated for practical exercises and informal question and answer sessions around common M and E problem areas. Participants will also be provided with additional Resources for further study and research in the M and E field.

Learning Objectives

  • Learn how to select data collection strategies and get acquainted with key issues about measures such as credibility, reliability, validity and precision
  • Benefit from a hands-on-approach based on real life cases enabling you to immediately apply the knowledge shared throughout course
  • Work in groups together with professionals from around the world, in a multicultural and diverse environment
  • Gain insights on how multilateral agencies manage their operations
  • Get access to all the resources necessary to start your own training program on Monitoring and Evaluation
  • Build a Monitoring and Evaluation system throughout the course for a real project
  • Use data analysis software package (Stata).
  • Use Geographic Information Systems (GIS) and GPS to gather data, collaborate and share information.
  • Communicate findings to stimulate learning and reflection.

Who Should Attend?

This course targets Project Management Officials from NGO’s, National Statistics Offices, Education Researchers, Government ministries, National Institutes and Planning Ministries, Central banks, and University Researchers among others.

Topics to Be Covered

M and E fundamentals

  • Introduction to M and E?
  • Key components of M and E
  • Relating Monitoring and evaluation to your project cycle
  • Identifying the challenges facing Monitoring and evaluation professionals
  • Steps to implementing M and E in a project/programme
  • Type of evaluations
  • Methods and tools for M and E
  • Challenges in M and E

Trends towards result based M and E

  • Managing for Development Results (MfDR)
  • MfDR core principles
  • MfDR and Result based management (RBM)
  • Defining RBM
  • Emergence of RBM and its development
  • Seven phases of RBM
  • Performance measurement, performance indicators and performance monitoring
  • Logical framework and results framework

Introduction to result based M and E

  • What is RBM?
  • Results based M and E outline
  • Result based M and E cycle
  • Performance measurement, performance indicators and performance monitoring
  • Essential actions to build result-based M and E
  • The power of measuring results

Situation analyses/Needs assessment

  • Formative research
  • Situation analysis
  • Needs assessment
  • Tools to conduct a needs assessment
  • Illustrative examples of situation analysis and mappings

Baseline assessment

  • What is baseline data and how is it collected?
  • Needs assessment versus baseline study
  • Questions to ask about a baseline plan
  • What kind of baseline data is necessary, useful and practical to collect?
  • Examples of baseline surveys

Designing the M and E system

  • The result chains
  • Impact pathways
  • Logical framework vs Theory of change
  • Developing a theory of change
  • Components of a theory of change

M and E frameworks

  • The importance of M and E frameworks
  • Considerations when developing an M and E framework
  • Steps in developing and M and E framework
  • Results frameworks
  • Logical frameworks

M and E plans


  • What does an M and E plan include?
  • Important considerations for an M and E plan
  • When should M and E be undertaken?
  • When monitoring activities should be carried out?
  • When should evaluations be conducted?
  • Can M and E plans be amended?

Designing indicators and evidence

  • Defining indicators
  • Characteristics of good indicators
  • Challenges and considerations when selecting indicators
  • Knowing how many indicators are enough
  • Process versus result/impact indicators
  • Process indicators
  • Result indicators
  • Output indicators
  • Outcome indicators
  • Impact indicators
  • Developing internationally comparable indicators

Performance monitoring

  • Definition and process
  • Tools used

Evaluation techniques

  • Evaluation questions
  • Steps to developing evaluation questions
  • Illustrative examples
  • Designing evaluations for stakeholder benefit and use
  • Choice and use of qualitative and quantitative collection instruments
  • Participatory data analysis
  • Communicating findings meaningfully for comprehensive stakeholder learning

Gender M and E

  • Introduction to M and E in Gender and development
  • Prioritizing gender in M and E plans
  • Exploring gender in M and E plans
  • Selecting indicators to measure gender related outputs and outcomes
  • Gender considerations for data collection, interpretation and use

Communicating M and E results

  • Developing a communications strategy based on evaluation findings.
  • Communicating findings to bring about change.
  • Presenting M and E results using different media

Use of M and E results

  • Different uses of M and E results
  • To whom to give feedback
  • When to give feedback
  • How to give feed back
  • Embedding learning for personal and organizational benefit
  • Becoming change agents for M and E.
  • Becoming an M and E champion

Assessing programme impact

  • Introduction to Impact Assessment
  • Programme Design Implications
  • Impact Assessment in Programme Design

Economic evaluations

  • Introduction to Economic evaluation
  • Main methods of economic evaluation
  • Case study: cost effectiveness

Data collection, management and data quality

  • Data collection methods: How to undertake data collection (quantitative and qualitative)
  • Increasing questionnaires response rates
  • Data collection versus data analysis
  • Data quality and data management
  • Data quality dimensions
  • Functional areas of data management systems

ICT tools for data collection, monitoring and evaluation in development programmes

  • ICT innovations: Mobile data collection
  • Using Mobile phones for data collection
  • Application
  • How can we use ICTs for qualitative M and E?

Introduction to data analysis and interpretation

  • Introduction
  • Data analysis key concepts
  • Types of variables
  • Basic analysis

Summarizing data

  • Numerical summaries for discrete variables
  • Tables for dichotomous variables
  • Tables for categorical variables
  • Tables for ordinal variables
  • Graphs and charts for dichotomous and categorical variables
  • Graphs and charts for ordinal variables
  • Tabulations for summary statistics for continuous variables

Graphs and charts for continuous variable

Introduction to qualitative data analysis

  • Planning for qualitative data analysis
  • Reviewing the data
  • Organizing your data
  • Coding the data
  • Introduction to using a qualitative data analysis software (NVivo)

Quantitative data analysis using STATA/SPSS/EXCEL/R/PHYTHON

  • Planning for quantitative data analysis
  • Comparison of Data analysis packages
  • Basics for statistical analysis
  • Testing for normality of data
  • Choosing the correct statistical test
  • Tests Hypothesis testing
  • Confidence intervals
  • Hypothesis testing versus confidence intervals
  • Interpreting the data

GIS techniques for M and E of development programmes

  • What is GIS?
  • Geographic approaches to development
  • GIS advantages for M and E
  • Using GIS software and data
  • Data sources for development issues
  • GIS analysis and mapping techniques

Economic techniques

  • Introduction to Economic evaluation
  • Main methods of economic evaluation
  • Case study: cost effectiveness


  • All our courses can be Tailor-made to participants needs
  • Course duration is flexible, and the contents can be modified to fit any number of days.
  • Presentations are well guided, practical exercise, web-based tutorials and group work. Our facilitators are expert with more than 10years of experience.
  • One-year free Consultation and Coaching provided after the course.
Foscore Development Center, Nairobi, Kenya Jul 19 - 30 Jul, 2021
Foscore Development Center, Nairobi, Kenya, Kenya 06 - 17 Sep, 2021
Foscore Development Center, Nairobi, Kenya, Kenya 25 Oct - 05 Nov, 2021

Registration: 09:00:am - 04:30:am

USD 2,000.00
(Convert Currency)

Jackson Munene +254 712260031

A discount of 10% to 50% for a group of more than two
Foscore Development Center

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