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Training Course on Participatory M and E for Rural Development and Community Managed Programmes

By: Datastat Research Center


06 - 10 Feb, 2023  5 days

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USD 900

Venue: Nairobi, Kenya

This course enables participants to broaden their understanding of participatory monitoring and evaluation as a support program management at various levels, and a tool for enhancing local capacity, participation, and people’s confidence and control over development processes and decisions.

The training will delve into concepts and principles of participatory monitoring and evaluation as well as the different methods and techniques that have already been tested in the field. 

The course is most suitable to individuals involved in planning, monitoring, and evaluation such as project managers, research officers, extension workers, community facilitators, and advocacy workers with at least two years of direct experience in planning, implementation, or management of activities. Participants will be required to produce information materials describing their experience. English proficiency is another requirement.


5 days

Course Content

Module I: Introduction to Participatory Monitoring and Evaluation (PME)

  • Aims of Participatory MandE
  • Applicability, advantages and disadvantages of PME
  • Principles of PME
  • What is PME?

Module II: Steps in the development and implementation of PME process

  • Analyzing Data
  • Gathering Data
  • Planning the PM and E Process and Determining Objectives and Indicators
  • Sharing the Information and Defining Actions to Be Taken

Module III: Participatory Monitoring and Evaluation Frameworks

  • Strategic Framework
  • Logical Framework
  • Participatory Monitoring and Evaluation Plans
  • Developing PM and E Plans
  • Implementing and monitoring PM and E Plans
  • Mainstreaming PM and E Plans with Project Plans

Module IV: Techniques and Tools for PM and E

  • Beneficiary Assessment
  • Community records and indicators
  • Participatory Rural Appraisal
  • Photographing the evidence
  • Testimonials
  • Visual self-evaluation tools

Module V: Participatory Planning and Design

  • Developing an action plan for implementation
  • Generating objectives for Project planning
  • Group dynamics of Participatory Decision-making process.
  • Involving the community in implementation

Module VI: Selecting indicators for Participatory Monitoring and Evaluation

  • Definition of an indicator.
  • Factors to consider in selecting indicators.
  • Formulation of indicators.
  • Types of indicators.

Module VII: Participatory Action Research (PAR)

  • PAR Tools
  • Research mapping
  • Research Planning
  • What is Action Research?
  • What is social research?

Module VIII: Participatory Baselines

  • The need for Participatory baselines  
  • Tools used for Participatory baseline surveys

Module IX: Data Analysis for Participatory Monitoring and Evaluation

  • Difference between description and interpretation
  • Feedback to Stakeholders
  • Qualitative data analysis: The basic steps
  • Participatory dissemination.
  • Participatory Information gathering Tools and Methods
  • How to increase trustworthiness of findings
  • Using NVivo for qualitative data analysis and management  
  • Value of involving others in the process

Module X: Participatory Impact Assessment

  • 8 stages of a Participatory impact assessment
  • Assessing project attribution
  • Participatory Tools and Methods for participatory impact assessment
  • Community defined indicators of project impact
  • Triangulation
  • What is participatory impact assessment?

Module XI: Participatory M and E Report writing

  • Communicating the different findings among partners
  • Qualities of a good report
  • Sharing experiences with others who may be implementing similar projects.

Module XII: GIS and GPS Techniques for mapping in Participatory MandE

  • Participatory Mapping of M and E indicators
  • Using Google Maps, Google Earth for participatory mapping  
  • Introduction to Participatory GIS Software (Quantum GIS)


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.

Key Notes

  • The participant must be conversant with English.
  • Upon completion of training the participant will be issued with an Authorized Training Certificate
  • Course duration is flexible and the contents can be modified to fit any number of days.
  • The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and a Certificate upon successful completion of Training.
  • One-year post-training support Consultation and Coaching provided after the course.
  • Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.
Nairobi, Kenya Feb 06 - 10 Feb, 2023

Registration: 09:15:am - 11:30:am

USD 900.00(Physical Training)
USD 630.00(Virtual Training)
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Sammy +254 724527104

Data Stat Research