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      Managing And Analysing Monitoring And Evaluation Data For Development Programmes in Nairobi

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      November 30, 2020

      Monday   8:30 AM - 4:30 PM

      westlands nairobi
      Nairobi, Nairobi Municipality

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      Managing And Analysing Monitoring And Evaluation Data For Development Programmes


      This course covers the principles and practices for results based monitoring and evaluation for the entire project life cycle. This course equips participants with skills in setting up and implementing results based monitoring and evaluation systems including M&E data management, analysis and reporting. The participants will benefit from the latest M&E thinking and practices including the results and participatory approaches. This course is designed to enable the participants become experts in monitoring and evaluating their development projects. The course covers all the key elements of a robust M&E system coupled with a practical project to illustrate the M&E concepts.


      10 Days


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

      Develop project results levels
      Design a project using logical framework
      Develop indicators and targets for each result level
      Track performance indicators over the life of the project
      Evaluation a project against the set results
      Develop and implement M&E systems
      Develop a comprehensive monitoring and evaluation plan
      Use data analysis software (Stata/SPSS/R)
      Collect data using mobile data collection tools
      Carryout impact evaluation
      Use GIS to analyze and share project data


      Module 1

      Introduction to Results Based Project Management

      Fundamentals of Results Based Management
      Why is RBM important?
      Results based management vs traditional projects management
      RBM Lifecycle (seven phases)
      Areas of focus of RBM

      Fundamentals of Monitoring and Evaluation

      Definition of Monitoring and Evaluation
      Why Monitoring and Evaluation is important
      Key principles and concepts in M&E
      M&E in project lifecycle
      Participatory M&E

      Project Analysis

      Situation Analysis
      Needs Assessment
      Strategy Analysis

      Module 2

      Design of Results in Monitoring and Evaluation

      Results chain approaches: Impact, outcomes, outputs and activities
      Results framework
      M&E causal pathway
      Principles of planning, monitoring and evaluating for results

      M&E Indicators

      Indicators definition
      Indicator metrics
      Linking indicators to results
      Indicator matrix
      Tracking of indicators

      Logical Framework Approach

      LFA – Analysis and Planning phase
      Design of logframe
      Risk rating in logframe
      Horizontal and vertical logic in logframe
      Using logframe to create schedules: Activity and Budget schedules
      Using logframe as a project management tool
      Theory of Change

      Overview of theory of change
      Developing theory of change
      Theory of Change vs Log Frame
      Case study: Theory of change

      Module 3

      M&E Systems

      What is an M&E System?
      Elements of M&E System
      Steps for developing Results based M&E System

      M&E Planning

      Importance of an M&E Plan
      Documenting M&E System in the M&E Plan
      Components of an M&E Plan-Monitoring, Evaluation, Data management, Reporting
      Using M&E Plan to implement M&E in a Project
      M&E plan vs Performance Management Plan (PMP)

      Base Survey in Results based M&E

      Importance of baseline studies
      Process of conducting baseline studies
      Baseline study vs evaluation

      Project Performance Evaluation

      Process and progress evaluations
      Evaluation research design
      Evaluation questions
      Evaluation report Dissemination

      M&E Data Management

      Different sources of M&E data
      Qualitative data collection methods
      Quantitative data collection methods
      Participatory methods of data collection
      Data Quality Assessment

      Module 4

      M&E Results Use and Dissemination

      Stakeholder’s information needs
      Use of M&E results to improve and strengthen projects
      Use of M&E Lessons learnt and Best Practices
      Organization knowledge champions
      M&E reporting format
      M&E results communication strategies

      Module 5

      Gender Perspective in M&E

      Importance of gender in M&E
      Integrating gender into program logic
      Setting gender sensitive indicators
      Collecting gender disaggregated data
      Analyzing M&E data from a gender perspective
      Appraisal of projects from a gender perspective

      Data Collection Tools and Techniques

      Sources of M&E data –primary and secondary
      Sampling during data collection
      Qualitative data collection methods
      Quantitative data collection methods
      Participatory data collection methods
      Introduction to data triangulation

      Data Quality

      What is data quality?
      Why data quality?
      Data quality standards
      Data flow and data quality
      Data Quality Assessments
      M&E system design for data quality

      Module 6

      ICT in Monitoring and Evaluation

      Mobile based data collection using ODK
      Data visualization - info graphics and dashboards
      Use of ICT tools for Real-time monitoring and evaluation

      Module 7

      Qualitative Data Analysis

      Principles of qualitative data analysis
      Data preparation for qualitative analysis
      Linking and integrating multiple data sets in different forms
      Thematic analysis for qualitative data
      Content analysis for qualitative data
      Manipulation and analysis of data using NVivo

      Module 8

      Quantitative Data Analysis – (Using SPSS/Stata)

      Introduction to statistical concepts
      Creating variables and data entry
      Data reconstruction
      Variables manipulation
      Descriptive statistics
      Understanding data weighting
      Inferential statistics: hypothesis testing, T-test, ANOVA, regression analysis

      Module 9

      Impact Assessment

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

      Module 10

      GIS in M&E

      Introduction to GIS in M&E
      GIS analysis and mapping techniques
      Data preparation for geospatial analysis
      Geospatial analysis using GIS software (QGIS)



      This training can also be customized for your institution upon request. You can also have it delivered your preferred location.

      For further inquiries, please contact us through Mobile: +254 732 776 700 or Email:


      Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.


      The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

      Cost: The course fee is KES 130,000.00 or USD 1600.00. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs. Organizations who send more than three participants automatically qualify for a 10% discount.

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      Event details may change at any time, always check with the event organizer when planning to attend this event or purchase tickets.