planner_workflow

Idea–Data Alignment ensures runnable empirical analyses by aligning research questions, datasets, and variable definitions with the research design before execution, guaranteeing data and analysis objective consistency.

You ensure research design auditability by applying a Phase 4 quality gate framework that tracks iteration processes and modification records, making all subsequent empirical analyses traceable and reviewable.

Baseline Design Lock generates an executable baseline equation, core design elements, and identification strategies, serving as the sole input before execution to ensure the analysis is runnable and interpretable.

Yes, you can track iteration changes during baseline design using the Phase 4 iteration backtracking support, which records modifications to ensure all design alterations remain fully traceable for review.

Yes, you need a literature gap analysis to start planning because the skill requires submitting a phased planning draft that explicitly defines data alignment, literature gaps, and baseline design before execution.