+ 254 20 211 3814 | +254 731 240 802
   +254 735 331 020 | +254 715 077 817
Westlands, Rhapta Road
Njema Court, Suite R2
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Participatory M&E for Rural Development and Community Managed Programmes Course


The development industry is becoming more and more demanding. Organizations are pressured by citizens, donor agencies and stakeholders to show evidence of their capacity.

Monitoring and Evaluation (M&E) Systems are a requirement in all development projects. Donors have their own M&E systems and companies and NGOs have to design their own systems when answering to calls for tenders and calls for proposals. Demand from development agencies, companies and NGOs create an interesting market for monitoring and evaluation experts.

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.

2 Weeks.

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 & Evaluation
  • Build a Monitoring & 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.

Topics to be covered:
M& E Fundamentals

  • What is M&E?
  • M&E Plans
  • M&E Frameworks
  • Indicators
  • Data sources collection and use
  • Relating Monitoring and evaluation to your project cycle
  • Identifying the challenges facing Monitoring and evaluation professionals in the health sector

Trends towards Result Based M&E

  • Managing for Development Results (MfDR)
  • MfDR core principles
  • MfDR and Result based management (RBM)
  • What is 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&E

  • Result based M&E outline
  • Essential actions to build result based M&E
  • Result based M&E cycle
  • 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

Designing the M&E system

  • The result chain
  • Impact path ways
  • Logical framework vs Theory of change
  • Developing a theory of change
  • Components of a theory of change

Step by Step approaches to M&E

  • Agree on the purpose and principles of the project M&E system
  • Agree on and design core documents to setup an M&E system
  • Establish project M&E system
  • Agree on field monitoring data collection and management process
  • Agree on Monitoring data analysis process
  • Agree on process for monitoring data utilization and reporting
  • Review and revise M&E plans based on progress
  • Agree on process of evaluation management

M&E Frameworks

  • M&E Frameworks for development programs
  • M&E in Development Programmes
  • M&E Frameworks
  • Developing and operationalising M&E frameworks
  • Linking M&E frameworks to indicators
  • Using data

M&E Plans

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

Designing indicators and evidence

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

Gender M&E

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

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

  • ICT innovations
  • Data collection implementation models
  • Key choice of application to collect data in rural areas
  • ICT tool for Data processing
  • Using Mobile phones for data collection
  • Dashboards; analytics, data management and stakeholders access
  • How can ICTs bring in more voices and support planning of and feedback on development programs?
  • How can we help strengthen local capacity around ICTs and M&E?
  • How can we use ICTs for qualitative M&E?
  • What is happening with ICT and M&E in S Asia, what are the common challenges?
  • What studies or evidence is there on ICTs and M&E
  • What is happening in E.Africa?
  • Case study

Data collection, management and data quality

  • Data collection methods: How to undertake data collection (quantitative and qualitative)
  • M&E field trips
  • Increasing questionnaires response rates
  • Data collection versus data analysis
  • Data quality and data management
  • Data quality dimensions
  • Functional areas of data management systems
  • Double counting
  • Obtaining data from Social media
  • ICT tool for Data processing
  • Using Mobile phones for data collection

Data use

  • Introduction
  • Data use frameworks and key concepts
  • Data demand
  • Information availability
  • Information use

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 variables

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

  • Planning for qualitative data analysis
  • Comparison of Data analysis packages
  • Basics for statistical analysis
  • Testing for normality of data
  • Choosing the correct statistical test
  • Hypothesis testing
  • Confidence intervals
  • Tests of statistical significance (Parametric and non-parametric tests)
  • Hypothesis testing versus confidence intervals
  • Interpreting the data

Baseline Assessments

  • 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

Performance monitoring

  • What it is
  • Tracking inputs and outputs
  • Tools for monitoring inputs and outputs

Measuring results in development programmes

  • Early results and outcomes (Access, use and satisfaction)
  • Sector and national level outcomes

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

Assessing Programme Impact

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

Methods and Approaches for Assessing Impact

  • Overview of Methods and Approaches
  • Comparison overtime (Time series)
  • Comparison over space (Sub-national comparisons)
  • Counterfactual comparison (With/without project or programme)
  • Quantitative Methods: Household Surveys
  • Quantitative Methods: Secondary Data
  • Qualitative Methods
  • Selecting Methods and Approaches

Economic Evaluations

  • Introduction to Economic evaluation
  • Main methods of economic evaluation
  • Framing an economic evaluation (planning, analysis and advocacy)
  • Case study: cost effectiveness

GIS techniques for M&E of development programmes

  • What is GIS?
  • Geographic approaches to development
  • GIS advantages for M&E
  • Using GIS software and data
  • Data sources for development issues
  • GIS analysis and mapping techniques
  • Participatory GIS and web Mapping (Google Maps, Google Earth)

Communicating M&E information

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

Use of M&E Results

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

Monitoring and evaluation for specific areas of work

  • Agriculture
  • Rural Development
  • Food Security
  • Education
  • Health
  • Justice
  • Community Mobilization
  • Conflict/Post-conflict/emergency


The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.


Upon successful completion of this training, participants will be issued with an Indepth Research Services (IRES) certificate.


The training  will be held at the IRES Training Centre in Nairobi. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.


Accommodation is arranged upon request. For reservations contact the Training Officer.


Mob: +254 715 077 817

Tel: 020 211 3814


Payment should be transferred to IRES account through bank on or before C.O.B 2nd October 2017.

Send proof of payment to 

Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.


Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Duration 10 Days
Event Date 09-10-2017
Event End Date 20-10-2017
Cut off date 02-10-2017
Individual Price (Kenyan) KES 150,000.00
Individual Price (International) EUR 2,024.00
Individual Price (International) USD 2,200.00
Location Naivasha, Kenya

Group Tariffs

Group Size Kenyan Rate Per day (KES) International Rate Per day (USD/EURO)
6-10 95,000.00 $ 1,118.00
€ 1,018.00
11-15 146,250.00 $ 1,721.00
€ 1,567.00
16-20 191,250.00 $ 2,250.00
€ 2,048.00
21-25 230,000.00 $ 2,706.00
€ 2,463.00
26-30 262,500.00 $ 3,089.00
€ 2,811.00
30-50 309,825.00 $ 4,556.00
€ 0.00
3-5 62,500.00 $ 736.00
€ 670.00
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© Indepth Research Services Ltd 2017