gpd-list-phase-assumptions

To identify hidden assumptions in a research phase, you analyze the AI's baseline expectations regarding physics, methodology, and scope boundaries. This process surfaces underlying presumptions for critical discussion and early course correction.

Project scope anchors are defined boundaries and dependencies that constrain a specific research phase. Analyzing these anchors during phase analysis ensures the computational approach and methodology align with the project roadmap.

Yes, you need access to the project roadmap and state to effectively analyze phase assumptions. This access allows the tool to accurately evaluate risk areas, dependencies, and methodology expectations for the targeted research phase.

You start a critical discussion about AI methodology assumptions by generating a conversational analysis of the phase's physics and computational approach. The output ends with a prompt asking for your critical feedback on the presented assumptions.

You should avoid using assumption identification when your project planning phase lacks a defined roadmap or when scope boundaries are completely fluid. Without a baseline project state, analyzing risk areas and dependencies yields no actionable course correction.