Use case · AI product discovery

AI product discovery that challenges the idea before the backlog.

Turn a promising but incomplete product idea into a focused discovery brief that an AI agent and a product team can both use.

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

Replace agreeable brainstorming with a structured conversation that makes weak assumptions visible early.

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

Frame the real problem

Specify who experiences the pain, what they do today, and why the problem deserves attention now.

02

Test differentiation

Name the strongest alternative, the switching cost, and the concrete reason the idea can win.

03

Record uncertainty

Keep unanswered questions as explicit risks instead of letting confident AI prose hide them.

How it works

A clear path from input to aligned action.

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

Interview

Clarify fundamentals

Explore users, jobs, pain, current alternatives, and the trigger for change.

Challenge

Find the riskiest assumption

Identify what could kill the idea and the cheapest way to test it.

Handoff

Create the discovery brief

Produce a compact input for story mapping with scope, journey, and success signals.

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