Data type
CSV and XLSX import
Import CSV and XLSX cells with durable sheet, row, and column evidence locators.
Implemented task
Public task
Open source actions and choose Add source.
Expected outcome: A validated source enters the durable revision and processing pipeline.
Declared product contract
Inputs and task boundary
Inputs
- CSV table
- XLSX workbook
Input constraints
- Every populated column must have a unique, non-empty header.
User actions
- Open Add source and choose a table file.
- Review sheet and column mapping.
- Submit the mapped table to the source pipeline.
Outputs
- A durable table source with sheet, row, column, and cell evidence locators.
Decision boundary
Where it fits
- Structured responses or research tables with stable headers.
Outside the boundary
Where it does not fit
- Tables with duplicate or empty populated-column headers until repaired.
Current scope
Limitations
- Import requires a unique, non-empty header for every populated column.
Verification
Product proof
journey
proof.m1-material-import
- Verified
- Review due
- Expires
- Eight public fixture formats enter the real source and revision pipeline.
- Exact locators and manual coding persist across refresh.
- Withdrawal previews impact and erases live database and stored objects.
Failure boundary: The proof does not claim M3 typed cases and variables or frame-level video analysis.
external standard
proof.m10-open-standard-formats
- Verified
- Review due
- Expires
- A claim-driven inventory applies independent standard checks only to implemented QDC/QDPX-codebook, WebVTT, DOCX, and XLSX claims.
- Both QDC and the QDPX codebook projection validate against the vendored official REFI-QDA Codebook 1.0 schema.
- WebVTT and OOXML fixtures pass independent parsers that do not call the product import parsers.
- Malformed QDC, WebVTT, and DOCX failure injections fail closed.
- Complete-project QDPX, saved queries, report builder, and all partial/planned capabilities remain explicitly unproved.
Failure boundary: This proof covers implemented open-format boundaries only; it does not certify complete-project QDPX, third-party round trips, saved queries, report builder behavior, or a production service level.
OpenVerbatim is an open-source (Apache-2.0) qualitative data analysis platform for coding and analyzing interview transcripts. AI-suggested codes stay marked as suggestions until a human reviewer confirms or rejects them, and every decision is kept in an audit trail. The full feature set is available when self-hosted; there is no paid feature wall.