decompose

To break down a large PRD into epics and user stories, you run a structured decomposition workflow that scopes the document and generates a formal story map with dependency mapping. This process translates large feature briefs into a persistent backlog pipeline.

Story mapping in backlog planning is the process of structuring large product specifications into prioritized epics and user stories. It generates a visual story map artifact that organizes dependencies and feeds downstream backlog pipelines.

Yes, you can use a large feature brief to generate a story map. The decomposition workflow is specifically designed to process feature briefs that are too large for a single analysis by applying structured input validation and scoping to map out all dependencies.

To map dependencies when decomposing product specifications, the workflow validates the structured input and translates it into a PRD plan. It automatically identifies and maps relationships between the newly generated epics and user stories for the backlog pipeline.

The best way to create a persistent backlog pipeline from a PRD is to use a repeatable decomposition process that outputs structured artifacts. It generates a formal PRD plan and a story map with prioritized epics to drive continuous backlog planning.