Program/Project outcome and Impact Evaluation (M&E)
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About Course
Day 1: Introduction to Outcome and Impact Evaluation
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Morning Session:
- Welcome and Course Overview
- Understanding the Importance of Evaluation
- Differentiating Between Outcome and Impact
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Afternoon Session:
- Key Concepts in Evaluation
- The Logic Model: A Framework for Evaluation
- Exercise: Developing a Simple Logic Model
Day 2: Data Collection and Measurement
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Morning Session:
- Selecting Evaluation Methods
- Qualitative vs. Quantitative Data
- Data Collection Techniques
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Afternoon Session:
- Developing Data Collection Instruments
- Sampling Techniques
- Ethical Considerations in Data Collection
- Exercise: Designing Data Collection Tools
Day 3: Data Analysis and Interpretation
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Morning Session:
- Data Entry and Management
- Quantitative Data Analysis
- Introduction to Statistical Tools
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Afternoon Session:
- Qualitative Data Analysis
- Triangulation of Data
- Interpreting Findings
- Exercise: Analyzing Evaluation Data
Day 4: Reporting and Communicating Results
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Morning Session:
- Creating Evaluation Reports
- Effective Data Visualization
- Tailoring Reports to Different Audiences
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Afternoon Session:
- Storytelling with Data
- Presenting Evaluation Results
- Handling Negative Findings
- Exercise: Drafting an Evaluation Report
Day 5: Utilizing Evaluation for Decision-Making
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Morning Session:
- Utilization-Focused Evaluation
- Using Evaluation Findings to Improve Programs/Projects
- Creating Actionable Recommendations
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Afternoon Session:
- Stakeholder Engagement and Feedback
- Sustainability of Programs/Projects
- Course Conclusion and Certificates
- Q&A and Evaluation of the Course
Throughout the course, participants will engage in practical exercises, case studies, and group discussions to reinforce their learning. Assignments and group projects related to real-world programs or projects may also be incorporated to allow participants to apply the knowledge and skills acquired during the course.