In academic research, programme evaluation and market research contexts across francophone Africa, Le Sphinx has established itself as one of the reference tools for survey processing. Its V5 Plus² version is the most complete edition, combining ease of use with analytical power.
What is Le Sphinx V5 Plus²?
Le Sphinx is a French survey and statistical analysis software developed by Le Sphinx Développement. Since its creation in the 1980s, it has become a reference tool in universities, research institutes and non-governmental organisations, particularly in the French-speaking world.
The V5 Plus² version is the most advanced edition in the range. It handles the entire survey lifecycle in a single software environment: questionnaire design, data collection and entry, statistical processing, and report production.
Who is it designed for?
- Master's and doctoral students in social sciences, economics, public health, geography
- Researchers and academics
- Monitoring & Evaluation managers in NGOs and international agencies
- Research officers in public administrations and consulting firms
- Market research professionals
It is accessible to non-statisticians, while offering advanced features that satisfy experienced analysts.
The main modules
Module 1 — Questionnaire design
Supports a wide range of question types: single-select closed questions, multi-select, open text, numeric, date, rating grids, Likert scales, and ranking questions. Conditional branching (skip logic) is configured through a graphical interface without any programming.
Module 2 — Data entry and import
Data can be entered via a direct input grid, imported from Excel (the most common method for field-collected data), or collected through an online questionnaire. Built-in consistency checks catch out-of-range values and missing mandatory responses.
Module 3 — Statistical analyses
Descriptive univariate statistics
- Frequency tables — response distribution with counts and percentages
- Mean, median, standard deviation, min, max
- Histograms, bar charts, pie charts
Descriptive bivariate statistics
- Cross-tabulations — contingency tables crossing two variables
- Chi-square test (χ²) — independence between categorical variables
- Pearson correlation — association between two quantitative variables
- Student's t-test — comparison of means between two groups
- ANOVA — comparison of means across more than two groups
Multivariate analyses
- Principal Component Analysis (PCA)
- Correspondence Analysis (CA) and Multiple CA (MCA)
- Hierarchical clustering (CAH) — grouping respondents into homogeneous profiles
- Linear and logistic regression
- Lexical analysis — word frequency, word clouds, verbatim categorisation for open questions
Each analysis is presented through a step-by-step assistant. The software also generates automatic textual interpretation of results — a major advantage for non-statisticians.
Module 4 — Report production
Export results to Word, Excel, PowerPoint, PDF or HTML directly from the software.
Key differentiating features of V5 Plus²
- Fully French interface — all menus, assistants and outputs are in French, unlike SPSS or R.
- Guided step-by-step approach — no need to know statistical syntax.
- Automatic interpretation — the software generates textual comments for each analysis.
- Weighted data processing — correction coefficients for non-representative samples.
- SPSS compatibility — import and export in
.savformat.
Typical use cases
- Theses and dissertations in social sciences, health, economics or geography
- Programme evaluations in NGOs and development agencies
- Customer, patient and public service user satisfaction surveys
- Market research: segmentation, product testing, preference analysis
- Household surveys and socio-economic data analysis
Comparison with other software
- vs. SPSS: More powerful for advanced statistics and also has a French interface, but its licence cost is very high and learning curve steeper. Le Sphinx is more accessible for non-statisticians.
- vs. Excel: Excel allows pivot tables but lacks integrated statistical tests and automated reporting.
- vs. R: R is free and extremely powerful but requires programming. Le Sphinx needs no coding skills.
- vs. KoboToolbox: KoboToolbox excels at mobile data collection. Le Sphinx takes over for in-depth statistical analysis after data export.
In practice, Le Sphinx V5 Plus² and KoboToolbox are often used together: KoboToolbox for field collection, Le Sphinx for statistical analysis after data export.
Video tutorial — Import Excel data and run cross-tabulations
In this tutorial published on the Data Solution channel, I show you how to import data from an Excel file into Le Sphinx V5 Plus², then produce frequency tables and cross-tabulations to analyse your survey results.
Import Excel data into Le Sphinx, frequency tables and cross-tabs · Data Solution channel
For further technical demonstrations on Le Sphinx (statistical tests, multivariate analyses, automated report production), see all tutorials on the Data Solution channel.
Download Le Sphinx V5 Plus²
You can download Le Sphinx V5 Plus² via the following MediaFire link:
- ⬇ Le Sphinx V5 Plus² — MediaFire Complete folder including the installation file
What Le Sphinx does not do
- Not designed for mobile collection — use KoboToolbox or ODK Collect for offline field data collection, then import into Le Sphinx for analysis.
- No dynamic dashboards — unlike Power BI or Tableau, outputs are static documents.
- Not suited for very large databases — for tens of thousands of respondents and hundreds of variables, R or Python will be more appropriate.
- Commercial licence — Le Sphinx V5 Plus² is paid software. Academic licences are available at reduced rates.
Conclusion
Le Sphinx V5 Plus² is a remarkably complete software for anyone working with quantitative surveys in a French-speaking context. Its French interface, guided approach and richness of statistical analyses make it a solid choice for both beginners and experienced analysts.
Its complementarity with mobile collection tools (KoboToolbox, ODK) and visualisation software (Power BI, Tableau) gives it a natural place in a complete data processing chain.