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Structured data collection for real work

Easy Forms. Powerful Analysis. Deep Insights.

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.

Versioned instruments Structured responses Research-ready exports Public or controlled collection

Core capabilities

The important parts stay connected.

Start with responses you collect in Traxe Forms, or bring an existing JSON, XLSX, or CSV dataset into the same review and analysis workflow.

Build with structure

22 question kinds, sections, notes, validation, requiredness, conditional visibility, and supported cascading choices.

Collect with control

Use public, authenticated, or invitation-based collection with response policies, drafts, autosave, and version pinning.

Import existing data

Bring JSON, XLSX, or CSV data into Traxe Forms for review and cleanup alongside collected responses.

Review and analyse

Move from response lists or imported datasets to summaries, comparisons, Research views, variables, relationships, and data quality.

Research and report

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

Serious questionnaire work, without losing the thread.

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.

Built for handoff.TRAXE supports standard CSV, XLSX, and JSON workflows for SPSS, Stata, R, Python, and Excel. Native SAV, DTA, RDS, and Parquet writers are not current capabilities.
01

Design the instrument

Keep questions, codes, validation, structure, and visibility rules explicit.

02

Test and version it

Use isolated synthetic TestRuns and immutable published versions before collection.

03

Inspect the evidence

Review responses, summaries, comparisons, data quality, relationships, and sampling guidance.

04

Take the dataset with you

Preserve version, variable, codebook, matrix, and provenance metadata in research-oriented exports.

How it works

From collected or imported data to a useful result.

Review, analyse, research, and report from the same workspace.

  1. Collect or importStart with a Traxe Form or an existing dataset.
  2. ReviewCheck structure, quality, and what came back.
  3. AnalyseCompare responses, variables, and relationships.
  4. Research / StatisticsPrepare evidence for the methods you need.
  5. Report / ExportTake a usable dataset into the next step.

AI-assisted drafting

Use AI to shape a first draft, then review it.

Where AI drafting is enabled, proposed form changes can be reviewed and previewed before they are applied. Teams remain responsible for the final instrument.

See the core workflow

Ready when your questions are

Build the form behind your next decision.

Start with a focused form, then grow into a traceable collection and analysis workflow.

Get started