Use case · PRD to story map

Turn a PRD into user stories your whole team can see.

Let an agent analyze a PRD, propose the product structure, and create an approved story map with goals, user steps, stories, personas, and releases.

EV charging app live context
Plan a trip
Set destination
Find route
Save journey
Find a charger
Compare stations
AI Filter availability
Check connector
Start charging
Connect vehicle
Confirm session
Track progress
MVP · coherent end-to-end slice

Start with a usable map instead of a blank canvas—or hundreds of disconnected generated tickets.

01

Why it matters

More useful AI starts with better product structure.

StoriesOnBoard keeps strategic context understandable to people and available to the agents helping them plan and execute.

01

Preserve intent

Trace requirements back to the user journey and the outcome they are meant to support.

02

Add missing foundations

Check the operational basics that product documents often omit by design.

03

Preview before writing

Review the proposed hierarchy and release placement before it becomes a real board.

How it works

A clear path from input to aligned action.

Each step adds context while keeping product decisions visible and reviewable.

Input

Read the PRD

Extract the users, jobs, journey phases, major functional areas, and constraints.

Structure

Design the map

Organize concise cards into goals, steps, stories, personas, and coherent releases.

Create

Build the real board

Write the approved structure through MCP and verify what exists on the map.

Frequently asked questions

Clear answers before you start.

Can AI convert a PRD into user stories?+

Yes. AI can extract personas, goals, user steps, scope, and constraints from a PRD, then propose user stories and release slices for review.

Why use a story map instead of generating a ticket list?+

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.

Does the AI create the backlog automatically?+

The recommended workflow previews the proposed map first. After human approval, the agent creates the structure in StoriesOnBoard through MCP and verifies the result.

Give your agents the full picture

Build the context before you build the product.

Start with a rough idea, a PRD, or an existing map. Turn it into a product plan people and agents can use together.

Start free