Privacy
Participant source withdrawal
Preview and cascade removal through media, transcript, analysis, themes, and sharing.
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
- A project source subject to a participant withdrawal request
Input constraints
- Withdrawal is a governance action and cannot be undone through ordinary operation history.
User actions
- Open source withdrawal and preview affected material, analysis, themes, and shares.
- Confirm the participant-requested withdrawal.
- Retry any residual storage erasure until absence is proven.
Outputs
- Cascaded live-content removal, minimized audit tombstones, revoked affected sharing, and storage-erasure state.
Decision boundary
Where it fits
- Removing all currently modeled content belonging to one withdrawn source.
Outside the boundary
Where it does not fit
- Ordinary undo or a claim that every future derived object is already covered.
Current scope
Limitations
- Precise cleanup of every historical Ask citation remains tracked separately.
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.