Data type
Open-ended survey import
Import CSV or XLSX answers with questions, respondents, and variables.
Partial task
Public task
Import a CSV or XLSX and map response, respondent, and variable columns.
Expected outcome: Open responses enter the source pipeline while M3 case and typed-variable limits remain explicit.
Declared product contract
Inputs and task boundary
Inputs
- CSV survey responses
- XLSX survey responses
Input constraints
- Response, respondent, and variable columns must be mapped before import.
- Typed project cases and variables remain an M3 dependency.
User actions
- Choose a response table.
- Map response, respondent ID, and variable columns.
- Import the mapped rows through the source pipeline.
Outputs
- A table-backed source with row and cell evidence while case semantics remain partial.
Decision boundary
Where it fits
- Open-ended response tables that can be mapped to the current source model.
Outside the boundary
Where it does not fit
- Complete mixed-method case and typed-variable analysis before M3.
Current scope
Limitations
- Response, respondent ID, and variable columns can be mapped, but typed participant/case variables and conflict handling remain part of M3.
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.
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.