Qualitative Data Analysis for M&E Training in South Africa
Classroom cohorts in Cape Town, Pretoria, Johannesburg · live online · in-house anywhere in South Africa
Interviews, focus groups and open-ended survey answers often explain why a programme worked or failed, yet many evaluation reports reduce them to a handful of quotes. Ten days of guided practice show you how to analyse such material systematically. Opening sessions place qualitative analysis within M&E, covering paradigms, sampling logic and when narrative evidence is the right tool. You then prepare data through transcription, translation, anonymisation and file organisation, before practising inductive and deductive coding, codebook development and intercoder agreement.
Thematic analysis is taught step by step, from initial codes to themes, matrices and explanatory frameworks, with comparison to content, framework and narrative analysis. Hands-on software days use computer-assisted analysis tools such as NVivo or ATLAS.ti to code, query and visualise data. The final module covers rigour: triangulation, reflexivity, audit trails, negative case analysis and presenting credible findings alongside quantitative results. M&E officers, evaluators, researchers and programme staff who collect field narratives will use these methods constantly. Expect to turn raw transcripts into well-supported evaluation findings that stand up to peer review.
About this course
This course provides practitioners with core competencies and practical tools in qualitative data analysis for m&e training, combining theoretical frameworks with field-tested approaches drawn from real-world projects.
Participants engage with case studies, complete hands-on exercises, and develop implementation plans they can apply directly to their own work.
Throughout the programme, participants work through realistic scenarios drawn from banking institutions, financial services firms, audit practices, and public finance bodies, examining how qualitative data analysis for M&E is applied in practice and where it most often breaks down. Delegates will develop practical skill in designing appropriate frameworks, selecting and applying the right tools for ensuring analytical rigor, interpreting findings, and communicating conclusions clearly to colleagues, management and external stakeholders. Sessions move deliberately from principles to application, so that each technique introduced is practised against a realistic problem before the programme moves on — strengthening both individual effectiveness and the wider capability of the organizations delegates return to.
Training Objectives
By the end of this course, participants will be able to:
- Develop robust qualitative data analysis for M&E frameworks that support successful implementation and measurable outcomes.
- Analyze performance using recognized evaluation methods drawn from ensuring analytical rigor.
- Design practical systems that strengthen accountability, transparency and evidence generation.
- Evaluate outcomes and assess longer-term impact across a range of operating contexts.
- Apply relevant tools, frameworks and analytical methodologies confidently and appropriately.
- Integrate mixed-methods integration into existing organizational processes and reporting structures.
- Strengthen decision-making and operational effectiveness through evidence-based professional practice.
What you'll learn
Key Takeaways
By the end of the Qualitative Data Analysis for M&E Training, participants will leave with:
- A comprehensive working understanding of qualitative data analysis for M&E principles and performance-measurement methodology.
- Enhanced ability to design practical systems and evaluate outcomes reliably.
- Improved competency in coding, reporting structures and analytical interpretation.
- Practical techniques for translating findings into strategic insight and clear recommendations.
- Greater confidence in applying qualitative data analysis for M&E and assessing measurable results.
- Stronger capability to support organizational learning and continuous performance improvement.
- Improved approaches to strengthening sustainability, accountability and operational effectiveness.
Training Methodology
This training course adopts a practical, participant-centered learning approach that builds qualitative data analysis for M&E expertise, strengthens analytical capability and develops confident professional judgement. The methodology combines specialist facilitation, applied hands-on experience and globally recognized professional practice, so that delegates return able to apply what they have learned immediately rather than in theory only.
Methodology includes:
- Expert-led sessions facilitated by experienced qualitative data analysis for M&E practitioners and subject-matter specialists.
- Practical application of the frameworks, tools and techniques used in coding.
- Real-world case studies drawn from banking institutions, financial services firms, audit practices, and public finance bodies.
- Tool-based demonstrations of the systems, templates and reporting applications used in current practice.
- Interactive discussion and scenario-based learning focused on realistic challenges and decision points.
- Structured group exercises with facilitator feedback, reinforcing learning through practice rather than lecture alone.
Day 1: Foundations of Qualitative Analysis in M&E
- The role of qualitative data in M&E systems
- Distinguishing qualitative from quantitative analysis approaches
- Common qualitative data sources in M&E
- Planning qualitative analysis from data collection design
- Planning and sequencing foundations of qualitative analysis in M&E within the wider workflow
- Data, evidence and information requirements for foundations of qualitative analysis in M&E
- Decision points and escalation routes in foundations of qualitative analysis in M&E
Day 2: Preparing Qualitative Data for Analysis
- Transcribing interviews and focus group discussions accurately
- Organizing and managing qualitative data files
- Anonymizing sensitive qualitative data
- Preparing data for coding
- Resourcing, cost and capacity considerations
- Regulatory, ethical and compliance dimensions of preparing qualitative data for analysis
- Technology and automation supporting preparing qualitative data for analysis
Day 3: Coding Techniques
- Developing a coding framework from research questions
- Inductive versus deductive coding approaches
- Applying codes consistently across data
- Managing code lists as they evolve
- Reviewing outcomes and capturing lessons learned
- Practical exercise and facilitated review
- Core principles and terminology underpinning coding techniques
Day 4: Thematic Analysis
- Conducting thematic analysis of coded data
- Identifying patterns and themes across data sources
- Distinguishing surface-level from deeper thematic findings
- Validating themes against the raw data
- Standards, frameworks and good practice governing thematic analysis
- Practical tools, templates and techniques for thematic analysis
- Roles, responsibilities and stakeholder coordination in thematic analysis
Day 5: Using Qualitative Data Analysis Software
- Introduction to qualitative data analysis software tools
- Organizing projects within analysis software
- Querying and retrieving coded data
- Exporting analysis outputs for reporting
- Common challenges, risks and failure points in using qualitative data analysis software
- Documentation, record-keeping and reporting requirements
- Measuring performance and assuring quality in using qualitative data analysis software
Day 6: Ensuring Analytical Rigor
- Techniques for ensuring credibility and trustworthiness in qualitative analysis
- Managing researcher bias in coding and interpretation
- Triangulating qualitative findings with other data sources
- Documenting the analysis process transparently
- Worked example: applying ensuring analytical rigor in a live qualitative data analysis for M&E context
- Planning and sequencing ensuring analytical rigor within the wider workflow
- Data, evidence and information requirements for ensuring analytical rigor
Day 7: Mixed-Methods Integration
- Integrating qualitative and quantitative findings in M&E reporting
- Using qualitative data to explain quantitative results
- Sequencing mixed-methods analysis appropriately
- Presenting integrated findings coherently
- Decision points and escalation routes in mixed-methods integration
- Resourcing, cost and capacity considerations
- Regulatory, ethical and compliance dimensions of mixed-methods integration
Day 8: Analyzing Sensitive and Difficult Data
- Analyzing data on sensitive topics appropriately
- Managing emotional content in qualitative data
- Protecting respondent identity in analysis and reporting
- Handling contradictory or difficult narratives
- Technology and automation supporting analyzing sensitive and difficult data
- Reviewing outcomes and capturing lessons learned
- Practical exercise and facilitated review
Day 9: Presenting Qualitative Findings
- Structuring qualitative findings for M&E reports
- Using illustrative quotes effectively and ethically
- Visualizing qualitative themes and patterns
- Presenting qualitative evidence to skeptical audiences
- Core principles and terminology underpinning presenting qualitative findings
- Standards, frameworks and good practice governing presenting qualitative findings
- Practical tools, templates and techniques for presenting qualitative findings
Day 10: Applied Qualitative Analysis Project
- Conducting a complete qualitative analysis on real or sample data
- Documenting the analysis methodology
- Presenting findings to a programme audience
- Building a personal qualitative analysis toolkit
- Roles, responsibilities and stakeholder coordination in applied qualitative analysis project
- Common challenges, risks and failure points in applied qualitative analysis project
- Documentation, record-keeping and reporting requirements
This course is for M&E staff who need rigorous methods for turning interviews and focus group data into credible evidence.
- M&E Officers Analyzing Qualitative Data
- Research and Evaluation Consultants
- Programme Learning and Adaptive Management Staff
- Academic Researchers Teaching Qualitative Methods
- Government Policy Research Officers
- NGO Impact and Learning Specialists
- Finance Managers and Controllers
Participants who complete the ten days receive a Certificate of Completion from Vision Reach Global Consultancy, confirming their ability to conduct rigorous qualitative data analysis for M&E purposes.
Certificates are issued in the delegate’s name on completion of the programme and are suitable for submission towards continuing professional development requirements. Vision Reach Global Consultancy verifies every certificate it issues on request.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
Need help with this booking?
Our training team can help with group pricing, invoicing, or picking the right schedule.
Choose Where You Want to Learn
Qualitative Data Analysis for M&E Training Venues
South AfricaCape TownNext Oct 26· 13 dates$7,600- South AfricaPretoriaNext Nov 2· 13 dates$6,400
- South AfricaJohannesburgNext Nov 2· 13 dates$6,800
KenyaMombasaNext Oct 26· 13 dates$3,200- KenyaNaivashaNext Nov 2· 13 dates$3,000
- KenyaNairobiNext Nov 9· 13 dates$3,000
- KenyaKisumuNext Oct 26· 13 dates$3,000
- KenyaMachakosNext Nov 2· 13 dates$3,200
UgandaKampalaNext Nov 2· 13 dates$3,800
RwandaKigaliNext Oct 26· 13 dates$3,800
TanzaniaZanzibarNext Nov 16· 13 dates$5,200
UAEDubaiNext Oct 26· 13 dates$7,600- TanzaniaDodomaNext Oct 26· 13 dates$3,600
- TanzaniaDar es SalaamNext Oct 26· 13 dates$4,000
- TanzaniaArushaNext Nov 9· 13 dates$3,800
NigeriaAbujaNext Nov 9· 13 dates$5,600- NigeriaLagosNext Nov 16· 13 dates$5,600
GhanaAccraNext Nov 16· 13 dates$9,000
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Frequently Asked Questions About Qualitative Data Analysis for M&E Training in South Africa
Everything you need to know about this course before you register.
Qualitative Data Analysis for M&E Training runs as classroom training in Cape Town, Pretoria, and Johannesburg, South Africa, in Monday-to-Friday cohorts that start every four weeks. You can also join a live online cohort from anywhere in South Africa, or book it in-house at your organisation's own premises.
The next classroom cohort in South Africa starts on October 26, 2026 in Cape Town, and a new intake follows every four weeks in each city. Pick a city and date in the schedule panel above, then click "Register for the Course" — your seat is confirmed once payment or a signed purchase order is received.
Classroom fees for Qualitative Data Analysis for M&E Training in South Africa run from USD 6,400 per delegate in Pretoria to USD 7,600. The fee covers tuition and course materials. Register 3 or more delegates together and a 5% team discount is applied automatically.
Yes — Qualitative Data Analysis for M&E Training can be delivered at your offices anywhere in South Africa, or at a venue you choose, on dates that suit your team, with case studies tailored to your sector. Switch to the "In-House" tab in the schedule panel above to request a proposal.
Yes. Qualitative Data Analysis for M&E Training also runs as live online training: the same curriculum as the classroom programme, taught by a trainer in real time, so you can join from anywhere in South Africa without travelling. Choose "Virtual Live" in the schedule panel above to see the online dates and fee.
By the end of the Qualitative Data Analysis for M&E Training programme, you'll be able to master core concepts and frameworks in qualitative data analysis for m&e traini, apply practical tools and methodologies to your own organizational context, build capacity to lead and manage qualitative data analysis for m&e t initiatives, and develop implementation strategies aligned with organizational goals. The full breakdown of topics is covered session by session in the Course Outline tab above.
This course is for M&E staff who need rigorous methods for turning interviews and focus group data into credible evidence. Typical delegates include M&E Officers Analyzing Qualitative Data, Research and Evaluation Consultants, Programme Learning and Adaptive Management Staff, Academic Researchers Teaching Qualitative Methods, Government Policy Research Officers, NGO Impact and Learning Specialists, and Finance Managers and Controllers.
Qualitative Data Analysis for M&E Training typically runs as 10 Days. It's available as in-person classroom training — every course can also be delivered on-site for your team on dates that suit you.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Qualitative Data Analysis for M&E Training from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Qualitative Data Analysis for M&E Training is pitched at intermediate professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
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Training by Country
Qualitative Data Analysis for M&E Training in Other Countries
- Qualitative Data Analysis for M&E Training in GhanaGHClassroom in Accra
- Qualitative Data Analysis for M&E Training in KenyaKEClassroom in Mombasa, Naivasha, Nairobi, Kisumu, Machakos
- Qualitative Data Analysis for M&E Training in NigeriaNGClassroom in Abuja, Lagos
- Qualitative Data Analysis for M&E Training in RwandaRWClassroom in Kigali
- Qualitative Data Analysis for M&E Training in TanzaniaTZClassroom in Zanzibar, Dodoma, Dar es Salaam, Arusha
- Qualitative Data Analysis for M&E Training in UgandaUGClassroom in Kampala
- Qualitative Data Analysis for M&E Training in the UAEAEClassroom in Dubai
- Qualitative Data Analysis for M&E Training worldwideEvery city, online and in-house date
- Live Online Qualitative Data Analysis for M&E TrainingInstructor-led, joined from anywhere
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