localsetup-decision-tree-workflow

A reverse prompt workflow uses a structured decision tree to clarify context by asking one question per turn with four options (A-D), capturing the user's choice and rationale to build context before drafting product specs.

To clarify context before drafting a PRD, use a guided one-question-per-turn dialogue with four options (A-D) that records your preferred choice and rationale, iteratively resolving decisions to build a running summary of context for downstream tasks.

Yes, the decision tree workflow accepts constrained A-D choices or free-form inputs, capturing your preferred option and rationale to maintain a running summary of context for downstream PRD and spec drafting.

A one-question decision tree improves product specs by asking the most relevant questions first with four options and rationale, iteratively resolving decisions with the user to build maximum context before implementation.

The best way to build context for downstream task planning is to apply a reverse prompt workflow that stores each decision choice and rationale as context, feeding subsequent steps like PRD and spec drafting.

No, the guided decision tree workflow requires no dependencies, operating independently to present one question per turn with four options (A-D) and capturing the preferred choice plus rationale to build context for downstream tasks.