Analysis
Filterable operation history and compensation
Inspect coding, codebook, memo, and governance history and undo or redo reversible work through new audited actions.
Implemented task
Public task
Open Memos, Connections, or operation history from the project workspace.
Expected outcome: Research notes, links, and reversible history retain their exact evidence and revision context.
Declared product contract
Inputs and task boundary
Inputs
- Project coding, codebook, memo, transcript, or governance operation history
Input constraints
- Only the current reversible operation can use ordinary compensation.
- Consent, permission, retention, and other governance actions use dedicated recovery.
User actions
- Open operation history and filter by operation kind.
- Return to the relevant object or preview an available undo or redo.
- Confirm a new compensating action without deleting history.
Outputs
- Append-only project history and, where permitted, a new compensating operation.
Decision boundary
Where it fits
- Reviewing and reversing declared ordinary research operations.
Outside the boundary
Where it does not fit
- Erasing history or treating governance decisions as ordinary undo.
Current scope
Limitations
- Consent withdrawal, permission removal, and retention actions require their dedicated governance recovery path.
Verification
Product proof
journey
proof.m2-analysis-kernel
- Verified
- Review due
- Expires
- All five locator kinds, overlap, multiple codes, and exact evidence return are covered.
- Codebook, memo, history, research connections, and withdrawal child journeys pass.
- Every child artifact is hashed and rerun from a fresh database.
Failure boundary: The proof covers the completed M2 kernel, not M3 cases, matrices, or later collaboration rounds.
journey
proof.m2-evidence-history
- Verified
- Review due
- Expires
- History, memos, shares, and events return to the exact revision and evidence.
- Reversible operations append compensation while governance actions use dedicated recovery.
- Published evidence remains frozen until an explicit new share.
Failure boundary: The proof covers reviewed excerpts and operation history, not complete reports.
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.