An AI onboarding flow should help someone get one useful result. A tour of every capability is usually a detour from that goal.
Define the first result
Write down one task your audience already wants to finish. For a writing tool it could be improving a paragraph; for a research tool it could be finding a source-backed answer. Make the result inspectable and editable.
Ask only what the task needs
Start with the minimum useful input. Ask for more context when it changes the result, and explain why it helps. Optional personalization should not block a first attempt.
- Show a concrete example with clearly labeled sample data.
- Let the person replace it with their own input.
- Explain what will happen before they start.
- Show progress tied to the actual work.
- Present a result they can inspect, edit, or discard.
Design the recovery path
Empty input needs a useful example. An unsupported file needs a supported-format hint. A provider failure needs a retry path that does not lose the draft. If a limit applies, show it before the user spends time preparing input.
Verify the flow
Ask a new user to reach the first result without coaching. Observe where they hesitate and whether they can explain the result’s limits. Also test keyboard-only use, a small screen, slow responses, and a failed request.
A completed tutorial is not proof of activation. The meaningful signal is whether the person accomplished the task they came for.