subagent-driven-analysis

To run pre-registered analyses without context leakage, dispatch a fresh subagent for each step to ensure isolation. This approach maintains independent step execution and produces auditable traces for your research workflow.

The best way to enforce protocol compliance in automated data analysis is using a two-stage review process. After dispatching the analyst subagent, complete a protocol-compliance review followed by a rigor review to validate outputs and ensure reproducibility.

No, you cannot execute an analysis plan if the preregistration is not frozen. The workflow requires the analysis preregistration to be frozen before execution, and any deviations from this frozen protocol are flagged and handled.

Dispatching isolated subagents improves research reproducibility by keeping context separate for each step. This isolation prevents cross-step leakage, ensures strict adherence to preregistered steps, and generates auditable traces for multi-step experiments and data analyses.

You need a two-stage rigor review when executing multi-step experiments or simulations requiring strict adherence to preregistered steps. The protocol-compliance and rigor reviews validate outputs, ensuring correctness and reproducible results after the analyst subagent finishes.

Yes, this subagent-driven analysis approach works for multi-step experiments, simulations, and data analyses. It coordinates end-to-end research workflows by dispatching fresh subagents per step and committing the results after two-stage reviews.