How do you know whether a supervision or education program actually worked — beyond a general sense that "things went fine"? That question sits at the center of this course from the Arab British Fellowship Training Academy, which equips participants to answer it with evidence rather than impressions.

Participants work through the full evaluation toolkit: choosing the right methodology and framework for a given program, collecting and analyzing data — both numbers and narratives — and, just as importantly, communicating what the evaluation found in a way that stakeholders actually act on. The course covers several themes that directly affect productivity and performance across an organization, positioning evaluation not as a bureaucratic exercise but as the mechanism that turns program results into program improvement.

Who Should Attend?

• Supervisors, teachers, and program managers responsible for education initiatives.
• Human-resources professionals who support training and development programs.
• Policy makers, officials, and staff at non-profit organizations.
• Researchers, academics, consultants, and practitioners working in evaluation.

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

• Explain why evaluating supervision and education programs matters.
• Select evaluation methodologies and tools that fit a program's goals.
• Build evaluation frameworks and indicators that genuinely measure effectiveness.
• Apply data-collection and analysis techniques to assess program outcomes.
• Interpret results and make evidence-based decisions to improve program quality.
• Communicate evaluation findings clearly to different stakeholders.
• Use evaluation results to build the case for more resources and support.

Module 1: What Program Evaluation Really Means

• Defining program evaluation and why it matters.
• Formal evaluation versus evaluative assessment.
• Evaluating process, outcome, and impact as three distinct layers.

Module 2: Setting Clear Evaluation Objectives and Questions

• Determining what the evaluation is actually meant to answer.
• Formulating hypotheses and research questions that guide the process.

Module 3: Choosing an Evaluation Framework That Fits the Program

• Logic models and theory of change as planning tools.
• Matching the framework to the program's goals and constraints.

Module 4: Selecting Samples and Collecting Data

• Sampling techniques suited to program evaluation.
• Data-collection methods: surveys, interviews, observations, and more.

Module 5: Managing Data Responsibly

• Storing and managing collected data securely.
• Ethical considerations that apply throughout the evaluation process.

Module 6: Analyzing Quantitative Data

• Descriptive statistics as a starting point for analysis.
• Inferential statistics: tests, ANOVA, regression analysis, and more.

Module 7: Analyzing Qualitative Data

• Thematic analysis of interviews and open-ended responses.
• Content analysis as a complementary technique.

Module 8: Combining Quantitative and Qualitative Findings

• A mixed-methods approach to bringing both data types together.
• Triangulating data sources to strengthen conclusions.

Module 9: Communicating Results to Stakeholders

• Adapting the message to different audiences.
• Presenting evaluation results in a way that drives action.

Module 10: Writing Reports and Using Results to Improve Programs

• Structuring a clear, concise evaluation report.
• Using findings to improve the program and to secure resources and support.