Method
Frozen method template selection
Select, preview, freeze, and execute one of seven method disciplines with explicit starter-codebook rules.
Implemented task
Public task
Choose a method template and review its frozen steps before creating a project.
Expected outcome: A project is created with the selected method version and bounded acquisition context.
Declared product contract
Inputs and task boundary
Inputs
- A project name and research questions
- One of seven versioned method templates
Input constraints
- The selected template version is frozen with the project.
- VoC starter codes require explicit opt-in and framework coding requires a researcher codebook.
User actions
- Compare the visible method templates and their steps.
- Choose any explicit starter-codebook option.
- Create the project and inspect its frozen method guide.
Outputs
- A project bound to one visible, versioned method template and its declared prerequisites.
Decision boundary
Where it fits
- Projects that need an explicit analysis discipline without a parallel data model.
Outside the boundary
Where it does not fit
- A claim that every deep workflow for the selected method is already complete.
Current scope
Limitations
- Named methods still depend on their separately tracked deep-workflow capabilities.
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.
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.