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Use case · AI backlog generation
An AI backlog generator that still tells the product story.
Create scannable, structured backlog items in the context of the journey, rather than producing a long list that becomes obsolete in the chat window.
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
Every story has a place, a persona, a release, and a reason to exist.
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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.
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End-to-end MVP
Slice the first release across the full happy path instead of completing one vertical silo.
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Visible assumptions
Show what came from source material, what was inferred, and which foundation stories were added.
How it works
A clear path from input to aligned action.
Each step adds context while keeping product decisions visible and reviewable.
Map the outcomes
Create a small set of high-level user goals that cover the product journey.
Build the backbone
Express the concrete user actions that make the journey understandable at a glance.
Slice the work
Add specific, implementable stories and place them into meaningful releases.
Frequently asked questions
Clear answers before you start.
What does an AI backlog generator create?+
It can generate product goals, user steps, user stories, personas, and release assignments from an idea, discovery brief, PRD, or existing product context.
How does story map context improve AI-generated backlogs?+
It helps the AI understand the full user journey and place each story under the correct goal and step instead of producing disconnected tickets.
Can the generated backlog be edited by the team?+
Yes. The result is a real StoriesOnBoard story map that teams can review, rearrange, slice into releases, and refine collaboratively.
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.
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