Survey data. Clear insights.
From data preparation to statistical analysis, qualitative research and publication-ready reporting — all in one intelligent research workspace.
Evidence overview
Dataset uploaded
Variables reviewed
Quality screening
Analysis pathway
Illustrative product preview using synthetic example labels. No research findings are shown.
Rigorous tools, without the traditional software maze.
Move between preparation, analysis, interpretation, and reporting while keeping every result tied to its source evidence.
Dataset Intelligence
Import SPSS, Excel, or CSV and review profiled variables, labels, and immutable versions.
Data Quality Lab
Inspect missing values, potential outliers, coding issues, and versioned transformations.
Statistical Analysis
Run supported descriptive, inferential, regression, mediation, moderation, and factor procedures.
SEM Studio
Specify and assess supported CFA, recursive CB-SEM, and PLS-SEM models.
Qualitative Analysis
Confirm open-ended fields, create codes, develop themes, and preserve evidence.
Guided Research
Follow an evidence-aware research journey with explanations and explicit researcher decisions.
Research Reporting
Organise saved results and approved qualitative evidence into editable notebooks and exports.
AI Research Assistant
Request contextual explanations grounded in allowed evidence and configured provider capabilities.
Method-aware guidance, with researcher judgement intact.
Surv.lytics explains prerequisites and connects evidence across your workflow. It never claims to guarantee scientific validity or publication outcomes.
See how it works- 01
Create a Project
Enter a research title and begin a private workspace.
Learn how - 02
Upload Survey Data
Import a supported SPSS, Excel, or CSV dataset.
Prepare a file - 03
Review Your Data
Inspect variables, missing values, coding, and quality.
Review variables - 04
Analyse Research
Choose Guided Research or open a supported procedure.
Compare pathways - 05
Interpret & Export
Review results, save evidence, and build reports.
Build a notebook
Explore the workspace before uploading your survey.
Create an optional owner-scoped sample project with clearly labelled synthetic responses, indicators, and open-ended comments.