Use cases

AI workflows grounded in the product, not trapped in a chat.

Choose a starting point and see how structured story map context improves discovery, planning, backlog quality, and implementation handoff.

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

Use the same product context from the first uncertain idea to the stories that are ready for delivery.

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

Start from an idea

Run focused product discovery and capture the assumptions that need evidence.

02

Start from a document

Turn a PRD or requirements list into a visual journey and usable backlog.

03

Start from a map

Audit, refine, re-slice, and prepare the existing product plan for execution.

How it works

A clear path from input to aligned action.

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

Think

Product discovery

Make the problem, audience, differentiation, and risk explicit.

Map

Backlog generation

Connect the end-to-end journey to specific user stories and releases.

Build

Implementation handoff

Give delivery agents approved, structured work with relevant surrounding context.

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