Qualitative Research For Monitoring and Evaluation

Learn How to Apply Qualitative Research for Effective Program Learning and Accountability

What you'll learn
- Learn what qualitative research is and why it is useful in M&E.
- Practice simple ways to collect data like interviews and group talks
- Learn how to make sense of and explain the information you collect
- Use qualitative research to improve projects and show results

Requirements
- Basic knowledge of monitoring and evaluation but is not a must

Description
ThisQualitative Research for Monitoring and Evaluation coursehas been designed and delivered by an experienced M&E practitioner with over 10 years of NGO sector expertise. To make learning seamless and engaging, the course has beenprofessionally narrated using AI-powered voiceover, ensuring clear, high-quality delivery throughout with other parts narrated by trainer himself.

Qualitative research is a cornerstone of Monitoring and Evaluation (M&E), providing thestories, perspectives, and lived experiencesthat numbers alone cannot capture. This comprehensive course takes you step by step through the principles, tools, and methods of qualitative research—from designing strong research questions to analyzing data using thematic, content, and narrative analysis techniques.

But we go further. In this course, you’ll also learn how toleverage AI tools like ChatGPTto streamline transcription, coding, and analysis, making your qualitative work faster, richer, and more efficient—without losing rigor.

Whether you are a beginner in M&E, a professional evaluator, or a development practitioner, this course equips you with the practical skills and modern approaches needed to collect, analyze, and report qualitative data with confidence.

What You’ll Learn

· By the end of this course, you will be able to:

· Understand therole of qualitative researchin Monitoring and Evaluation.

· Developclear and focused qualitative research questionsaligned with M&E objectives.

· Apply keyqualitative methodologiessuch as phenomenology, ethnography, grounded theory, case studies, and action research.

· Usesampling strategies(purposive, snowball, maximum variation, typical case, etc.) to select participants effectively.

· Collect data usinginterviews, focus groups, observation tools, participatory methods, and document analysis.

· Craft effectiveinterview guidesand conduct powerful interviews.

· Analyze qualitative data throughthematic, content, and narrative analysis.

· Present findings incompelling reports, with visuals such as thematic maps, journey maps, and infographics.

· Tailor reports for different audiences—program staff, donors, policymakers, and communities.

·Leverage AI tools for qualitative analysis(e.g., generating initial codes, summarizing transcripts, identifying themes, and validating findings).

Who This Course is For

This course is designed for:

· Monitoring and Evaluation (M&E) practitioners in NGOs, governments, and development agencies.

· Researchers and consultants working on program evaluations.

· Graduate students studying development, social sciences, or public health.

· Program managers and field officers who want to strengthen reporting and learning systems.

· Anyone interested in combiningtraditional qualitative methods with modern AI toolsfor more efficient and insightful analysis.

Who this course is for:
- People working in monitoring and evaluation (M&E) who want to improve their skills
- NGO and development workers who use M&E in their projects
- Students and researchers learning about evaluation or social research
- Donors, funders, and decision-makers who need to understand program results
- Consultants and freelance evaluators who support organizations with M&E
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