• views: 132
• date: 24 September 2025
• posted by: voska89

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
This Qualitative Research for Monitoring and Evaluation course has 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 been professionally 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 the stories, perspectives, and lived experiences that 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 to leverage AI tools like ChatGPT to 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 the role of qualitative research in Monitoring and Evaluation.· Develop clear and focused qualitative research questions aligned with M&E objectives.· Apply key qualitative methodologies such as phenomenology, ethnography, grounded theory, case studies, and action research.· Use sampling strategies (purposive, snowball, maximum variation, typical case, etc.) to select participants effectively.· Collect data using interviews, focus groups, observation tools, participatory methods, and document analysis.· Craft effective interview guides and conduct powerful interviews.· Analyze qualitative data through thematic, content, and narrative analysis.· Present findings in compelling 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 ForThis 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 combining traditional qualitative methods with modern AI tools for 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
Homepage

https://www.udemy.com/course/qualitative-research-for-monitoring-and-evaluation/

   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.