Build with structure
22 question kinds, sections, notes, validation, requiredness, conditional visibility, and supported cascading choices.
Structured data collection for real work
An AI-powered end-to-end data pipeline to design forms, collaborate with teams, test and refine tools before deployment, collect or import data, and turn results into actionable insights.
Solutions
Start with a focused questionnaire or build a versioned instrument for a larger programme. The same collection and response foundations support both.
From research design to analysis-ready data.
Ask better questions. Understand responses.
Simplify sign-ups and intake.
Collect applications in one place.
Capture opinions and choices.
Create structured assessments.
Track progress. Measure results.
Core capabilities
Start with responses you collect in Traxe Forms, or bring an existing JSON, XLSX, or CSV dataset into the same review and analysis workflow.
22 question kinds, sections, notes, validation, requiredness, conditional visibility, and supported cascading choices.
Use public, authenticated, or invitation-based collection with response policies, drafts, autosave, and version pinning.
Bring JSON, XLSX, or CSV data into Traxe Forms for review and cleanup alongside collected responses.
Move from response lists or imported datasets to summaries, comparisons, Research views, variables, relationships, and data quality.
Prepare a traceable dataset for research and export Wide or Long/Tidy CSV, Research XLSX, or a JSON research-export manifest.
Collect or import data, then review, analyse, research, and report from one workspace.
Research / Study
TRAXE Forms is strongest as the instrument, collection, versioning, quality-review, and dataset-preparation layer. Use specialist statistical tools when your analysis needs more than the bounded methods inside the product.
Keep questions, codes, validation, structure, and visibility rules explicit.
Use isolated synthetic TestRuns and immutable published versions before collection.
Review responses, summaries, comparisons, data quality, relationships, and sampling guidance.
Preserve version, variable, codebook, matrix, and provenance metadata in research-oriented exports.
How it works
Review, analyse, research, and report from the same workspace.
AI-assisted drafting
Where AI drafting is enabled, proposed form changes can be reviewed and previewed before they are applied. Teams remain responsible for the final instrument.
Ready when your questions are
Start with a focused form, then grow into a traceable collection and analysis workflow.
Get started