How to write Acceptance Criteria using AI

The 3 phase process to write and review AI assisted Acceptance Criteria

Writing Acceptance Criteria is often the bottleneck in backlog refinement.

It is one of those Product activities that everyone knows matters, yet it's routinely underdeveloped or written too late.

Your team has probably already used AI to write acceptance criteria.

You typed in a user story, got a list of conditions back, and pasted it straight into Jira. Fast. Easy. Done.

Here’s the thing, though. This speed comes at a cost.

I have seen that this acceptance criteria is usually vague, with missing edge cases and conditions that can’t actually be verified.

AI can write AC. That part is easy. Writing AC your team can trust is a different story.

Used without a clear process, AI gives you false confidence. The gaps are still there, they're just harder to spot.

In today’s post, I am going to give you a simple 3-phased process my teams use to write acceptance criteria every sprint.

Let’s get started.

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