Training Course on Project Performance Evaluation

Course Overview

Project performance evaluation is a crucial aspect of project management, as it helps assess how well a project is progressing and whether it is meeting its goals and objectives. This course is designed to provide participants with a comprehensive understanding of project performance evaluation, a critical aspect of effective project management. The course covers key concepts, methodologies, and tools essential for assessing and improving project performance. Participants will gain practical skills and knowledge to enhance their ability to monitor, measure, and report on project progress.

This training course is a suitably wide range of professionals but will significantly benefit: 

• Project Directors
• Project Managers
• Project Consultants
• Project Planners and Estimators
• Quality Assurance Managers and Engineers
• Contract and Procurement Managers
• Project and Discipline Engineers
• Specialist Technicians and Technical Assistants

Course Objectives

After the training, the participants will

• Gain a clear understanding of project management concepts and project life cycle phases.
• Identify and use key performance indicators (KPIs) to measure project success.
• Recognize and manage potential risks in projects.
• Apply frameworks and models to assess and improve project success.
• Use effective methods for collecting and analyzing project data.
• Communicate project performance effectively to stakeholders.
• Assess and enhance project deliverables.
• Embrace continuous improvement in project management.
• Understand and manage project documentation.
• Utilize project management tools for data analysis and reporting.
• Apply ethical considerations in project performance evaluation.
• Analyze real-world cases and apply learning to practical situations.

Course Duration: 10 days

Course Outline

Module 1: Monitoring and Evaluation (M&E) for Project Evaluations

• Understanding the Results Framework
• Defining M&E Project Indicators
• Introduction to the Logical Framework

Module 2: Project Evaluation Fundamentals

• Exploring the concept of project evaluation
• Recognizing the significance of project evaluation
• Distinguishing between monitoring and evaluation
• Designing a project evaluation

Modele 3: Developing an Evaluation Plan

• Establishing the purpose of the evaluation
• Identifying different types of evaluations
• Formulating evaluation criteria
• Crafting meaningful evaluation questions

Module 4: Data Collection Planning

• Recognizing sources of evaluation data
• Selecting methods for data collection
• Choosing appropriate data analysis methods
• Completing an evaluation matrix

Module 5: Organization of Evaluation Activities

• Task allocation for evaluation
• Creating an evaluation work plan
• Developing an evaluation budget

Module 6: Implementation of Evaluation Plans

• Identification of evaluation indicators
• Development of evaluation tools
• Integration of monitoring data in the evaluation
• Managing diverse data collection methods

Module 7: Mobile Data Collection Techniques

• Transitioning from paper-based to ODK forms
• Configuration of ODK server aggregate
• Field data collection using ODK Collect
• Exporting data from ODK for further analysis

Module 8: Quantitative Data Analysis with SPSS/Stata

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

Module 9: Qualitative Data Analysis

• Principles of qualitative data analysis
• Preparing data for qualitative analysis
• Linking and integrating multiple data sets
• Thematic analysis and content analysis
• Manipulation and analysis of data using NVivo
• Data triangulation

Module 10: Development of Evaluation Findings

• Consolidating the evaluation matrix
• Implementing data triangulation
• Constructing responses to evaluation questions

Module 11: Preparation of the Evaluation Report

• Formulating conclusions based on findings
• Generating actionable recommendations
• Delivering the final evaluation report
• Disseminating the results of the evaluation