Method
Thematic analysis workflow
Build, test, relate, revise, and review themes against exact supporting and counterexample evidence.
Implemented task
Public task
Open Themes and create or inspect a human-owned theme.
Expected outcome: Theme structure, relations, evidence, counterexamples, and history remain explicitly human-reviewable.
Declared product contract
Inputs and task boundary
Inputs
- A project using the thematic template
- Reviewed codes and exact evidence
Input constraints
- Automatic theme candidates remain suggestions until explicitly reviewed.
- Complete thematic reporting remains a separate delivery milestone.
User actions
- Create or review human-owned themes.
- Organize members, hierarchy, evidence, counterexamples, and relations.
- Revise, merge, archive, or restore themes with history.
Outputs
- A versioned human-owned theme structure with exact supporting and counterexample evidence.
Decision boundary
Where it fits
- Researchers constructing and reviewing themes against coded evidence.
Outside the boundary
Where it does not fit
- A complete final thematic report before M6.
Current scope
Limitations
- Complete thematic reporting remains tracked separately in the reporting milestone.
Verification
Product proof
journey
proof.x-r01-method-template
- Verified
- Review due
- Expires
- Seven frozen method templates and their steps are visible before project creation.
- Starter-codebook choice and framework prerequisites remain explicit.
- The frozen method guide and recovery survive refresh.
Failure boundary: The proof covers template selection and method discipline, not every deep method workflow or report.
journey
proof.x-r02-theme-workspace
- Verified
- Review due
- Expires
- Researchers create, relate, merge, archive, and version human-owned themes.
- Automatic reruns do not overwrite human structures and withdrawn evidence is minimized.
- Large theme structures remain virtualized with an equivalent keyboard path.
Failure boundary: Complete thematic reporting remains an M6 deliverable.
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.