Training Course on Project Performance Evaluation (MEC005)
Training Course on Project Performance Evaluation
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.
Course Duration
10 days
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.
Organisational Impact
Organizations whose staff attend this course will benefit from:
- Better monitoring and tracking of project performance
- Data-driven decision-making for improved results
- Clearer reporting and accountability to stakeholders
- Identification of gaps and ways to improve projects
- Skilled staff able to manage evaluations independently
- Early detection and management of project risks
- Lessons learned for continuous improvement
- Increased credibility with donors and partners
Personal Impact
Participants will gain:
- Practical skills to evaluate and improve project performance
- Confidence in collecting, managing, and analyzing project data
- Ability to use evaluation results for decision-making
- Skills to report findings clearly to stakeholders
- Hands-on experience with tools for both quantitative and qualitative data
- Knowledge to identify and address project challenges
- Insights for continuous learning and professional growth
- A certificate of Completion from Perk Group Africa
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
Module 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
Note: The specific content, activities, and duration of each session may be adjusted based on the target audience, learning objectives, and available time.
Course Language
English
Training Methodology
The Project Performance Evaluation course will adopt a practical, participatory, and learner-centered approach to ensure participants gain both conceptual understanding and applied skills in evaluating project performance. The methodology emphasizes hands-on exercises, real-world applications, and interactive engagement to enhance learning and retention.
The training methodology includes:
- Interactive Lectures and Conceptual Discussions: Introducing participants to project evaluation principles, key concepts, frameworks, and indicators, with opportunities for questions and clarifications.
- Hands-On Practical Exercises: Participants will practice designing evaluation plans, developing evaluation matrices, and formulating meaningful evaluation questions.
- Data Collection and Management Practice: Guided exercises on planning, designing, and implementing data collection using both traditional and mobile-based tools (ODK).
- Quantitative Data Analysis Practice: Practical sessions using statistical software (SPSS, Stata) to analyze project performance data, including descriptive and inferential statistics, hypothesis testing, and regression analysis.
- Qualitative Data Analysis Practice: Exercises using NVivo and other tools to conduct thematic and content analysis, integrate multiple data sets, and triangulate findings.
- Case Studies and Real-World Scenarios: Application of evaluation concepts to real project situations to reinforce learning and problem-solving skills.
- Group Work and Peer Learning: Collaborative exercises to simulate team-based evaluation, stakeholder engagement, and reporting processes.
- Reporting and Dissemination Exercises: Practice in interpreting findings, generating actionable recommendations, and preparing evaluation reports for different stakeholders.
- Step-by-Step Guidance and Coaching: Trainers provide structured support throughout the course to ensure participants correctly apply evaluation tools and techniques.
- Reflective and Experiential Learning: Participants reflect on lessons learned, discuss best practices, and plan how to implement project evaluation techniques in their professional contexts.
Certification
Upon completion of training, the participant will be issued with a certificate of Completion.
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