Are you struggling to make sense of dense textual data, lengthy interview transcripts, or complex focus group discussions? We provide comprehensive Qualitative Data Analysis (QDA) services tailored for postgraduate research projects (Master’s and PhD), peer-reviewed journal papers, monitoring and evaluation (M&E) frameworks, and high-impact institutional presentations. Our core focus is simple: transforming your raw datasets into rigorous, publication-ready insights.
SYSTEMS - QUALITATIVE ANALYSIS
ATLAS.TI
ATLAS.ti is one of the main software applications we use for qualitative data analysis. It supports thematic, content, qualitative descriptive and case analysis making it highly appealing in academic research. ATLAS.ti is highly accepted as a reliable data analysis tool, including among highly demanding Q1-Q2 journals, institutions and publishers in South Africa and beyond.
QUALTRICS XM
Qualtrics XM is an important qualitative data analysis software gaining traction among academics. This system's strength is the generation of tools like decision trees, which visually map complex user pathways from open-ended feedback. Furthermore, its Text iQ AI automatically categorizes themes and sentiment, seamlessly bridging the gap between qualitative nuance and quantitative rigour.
MS EXCEL
Microsoft Excel remains an important qualitative data analysis tool in our arsenal. It is useful in supporting manual coding processes and in the presentation of visual output. MS Excel's versatility enables us to export output from systems like Atlas.ti and Qualtrics XM in formats that are accessible to researchers who might not have access to specialised qualitative data analysis tools
VOSViewer
VOSviewer is an advanced bibliometric software tool used by academics and policy researchers to construct and visualize the thematic landscapes of large textual and literature datasets. While traditional qualitative tools focus on coding deep within individual transcripts, VOSviewer provides a macro-level, bird's-eye view of your entire research domain to uncover systemic trends and structural gaps
PYTHON
When dealing with Big Data in qualitative analysis such as processing thousands of customer reviews, multi-year policy repositories, or massive social media datasets manual coding becomes impossible. This is when we deploy Python paired with big data architectures to solve this scaling problem. This solution works best for market research producing highly reliable results.
QUALITATIVE DATA ANALYSIS METHODS
We support many qualitative data analysis methods using the above systems. The include the more common thematic and content analysis, grounded theory, narrative analysis and qualitative descriptive analysis among others.
Qualitative descriptive analysis
Qualitative descriptive analysis is favored in scientific and clinical fields because it delivers a straightforward summary of a phenomenon using the data’s own words. We support this too.
Thematic analysis/thematic content analysis
Thematic analysis is probably the commonest form of analysis used by researchers and academics across multiple disciplines. We support this analysis using Atlas.ti and other tools, guided by institutional requirements, general bests-practices and user specifications.
Other forms and types of analysis
Also supported are grounded theory, narrative analysis and case analysis, discourse analysis, critical discourse analysis and interpretive phenomenological analysis.
SERVICE FEES
Master-level Qualitative Data Analysis
R4800
Indicative starting price - Final price determined by project details.
PhD-level Qualitative Data Analysis
R6800
Indicative starting price - Final price determined by project details.
Journal Article Data Analysis
R2800
Indicative starting price - Final price determined by project details.
OUR PROMISE TO YOU...
We highly recommend booking your slot in advance during peak thesis submission windows.