A Product Owner Guide to Better Acceptance Criteria

Acceptance criteria are not a formality. They are the contract between product intent and delivery evidence.

Good acceptance criteria answer three questions:

• What should the user be able to do?
• What should happen when the happy path fails?
• What evidence proves this is complete?

For AI-assisted teams, acceptance criteria need one extra property: they must be concrete enough for a reviewer to tell whether generated code solved the right problem.

Strong criteria are observable

Avoid vague wording like "works correctly" or "handles errors." Say which errors, which users, and which visible result matters.

Strong criteria include boundaries

Name permissions, plans, roles, data ownership, and integrations. This is especially important when a story touches billing, workspaces, customer data, or admin tools.

PlannerPoker's AI planning report helps product owners draft criteria, capture open questions, and keep the team estimate connected to the delivery definition.