Evidence Based Monitoring and Evaluation for Agribusiness Projects

All training courses can be modified to suit the needs of extension services in form of Training of Trainers (ToT), or directly to the beneficiaries

Course description

About the Course

Agriculture is the mainstay of many developing countries’ economies. The agricultural sector has become increasingly complex due to a convergence of technological advancements, environmental challenges, shifting consumer demands, among other factors. Monitoring and Evaluation tools and techniques plays a crucial role in ensuring agribusiness projects are designed, and implemented as planned to aid in achieving their goals. This training course is aimed at equipping the participants with adequate skills to develop and manage robust M&E systems for effective management of agribusiness projects and programs. Learners will be introduced to M&E frameworks indicators as well as tools and techniques for M&E.

Target Participants

The training is ideal for researchers, project staff, development practitioners, managers and decision makers who are responsible for agribusiness projects and programmes M&E.

What you will learn

By the end of this course the participants will be able to:

  • Understand monitoring and evaluation (M&E) for agribusiness projects
  • Design agribusiness projects using logical framework analysis approach
  • Define indicators for agribusiness projects
  • Track performance indicators over the life of the project
  • Evaluate agribusiness projects against objectives and targets
  • Understand gender role in M&E in agribusiness projects
  • Conduct impact evaluations of agribusiness projects

Course Duration

5 Days

Course outline (read more)

Introduction to M&E

  • Definition of monitoring and evaluation
  • Why monitoring and evaluation is important
  • Key principles and concepts in M&E
  • M&E in project lifecycle
  • Complementary roles of monitoring and evaluation

Agriculture and Rural Development Policy issues

  • Sustainable agriculture and rural development
  • Economic contribution of agriculture
  • Link between agriculture and rural development
  • Agriculture and food security

 M&E Frameworks in Agribusiness Projects

  • Conceptual frameworks
  • Results frameworks
  • Logical Framework Analysis (LFA)
  • Design of agribusiness projects using LogFrame

Indicators in Agribusiness Projects

  • Indicator metrics
  • Linking indicators to results
  • Indicator matrix
  • Indicator performance tracking
  • Sector-wide indicators for agribusiness projects
  • Specific indicators for sub-sectors of agribusiness projects
  • Indicators for thematic areas related to agribusiness projects

M&E System and M&E Planning

  • Importance of an M&E plan
  • Documenting M&E system in the M&E plan
  • Components of an M&E Plan
  • Using M&E plan to implement M&E in an agribusiness projects

Data Management for M&E in Agribusiness Projects

  • Sources of Data: Information systems, surveys, participatory poverty assessments, financial management tools
  • Surveys for data collection in agribusiness projects
  • Participatory methods of data collection
  • Data analysis

Gender Integration in M&E for Agribusiness Projects

  • Gender integration during project activities design
  • Gender indicators
  • Cross cutting gender issues
  • Measure of gender outcomes

Performance Evaluation of Agribusiness Projects

  • Determining evaluation points from results framework
  • Components of evaluations: implementation and process evaluations.
  • Evaluation designs- experimental, quasi-experimental and non-experimental
  • Performance evaluation process
  • Evaluation questions
  • Evaluation findings sharing and dissemination

Impact Evaluations for Agribusiness Projects

  • Introduction to impact evaluation
  • Attribution in impact evaluation
  • Estimation of counterfactual
  • Impact evaluation methods: Double difference, Propensity score matching

M&E Results Use and Dissemination

  • Use of M&E results
  • M&E lessons learnt and best practices
  • Organization knowledge champions
  • M&E reporting
Course Leader

Dr. Moses Gweyi.

LinkedIn: mgweyi
LinkedIn: mgweyi

Standard Course Fee

Kenyans:

Non-Kenyans:

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