Preserve intent
Trace requirements back to the user journey and the outcome they are meant to support.
AILet an agent analyze a PRD, propose the product structure, and create an approved story map with goals, user steps, stories, personas, and releases.
Start with a usable map instead of a blank canvas—or hundreds of disconnected generated tickets.
Why it matters
StoriesOnBoard keeps strategic context understandable to people and available to the agents helping them plan and execute.
Trace requirements back to the user journey and the outcome they are meant to support.
Check the operational basics that product documents often omit by design.
Review the proposed hierarchy and release placement before it becomes a real board.
Each step adds context while keeping product decisions visible and reviewable.
Extract the users, jobs, journey phases, major functional areas, and constraints.
Organize concise cards into goals, steps, stories, personas, and coherent releases.
Write the approved structure through MCP and verify what exists on the map.
Yes. AI can extract personas, goals, user steps, scope, and constraints from a PRD, then propose user stories and release slices for review.
The map shows where each story belongs in the user journey and whether a release works end to end. A flat list does not make these relationships visible.
The recommended workflow previews the proposed map first. After human approval, the agent creates the structure in StoriesOnBoard through MCP and verifies the result.
Start with a rough idea, a PRD, or an existing map. Turn it into a product plan people and agents can use together.
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