Acceptance Criteria Generator

Draft testable acceptance criteria from any story

Turn a story, ticket, or product plan into unambiguous Given/When/Then criteria your coding agents can build and your reviewers can verify.

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Given/When/Then by default

Every story is turned into structured Given/When/Then criteria a coding agent can implement and a reviewer can check line by line.

Testable, not aspirational

Each criterion names an observable outcome with a concrete pass condition, so "done" is a fact instead of an opinion.

Ambiguity caught early

Vague words like "fast", "intuitive", or "handle errors" are flagged and rewritten into measurable, unambiguous conditions.

Edge cases and non-goals

Empty states, failure paths, and permissions are surfaced up front, so scope gaps get caught at the story, not in the pull request.

Agent-ready output

Criteria are written for coding agents to build against directly - explicit inputs, outputs, and done conditions, not prose to interpret.

Criteria become the review gate

The same acceptance criteria that brief the build become the checklist that grades the diff when the pull request lands.

From a fuzzy story to criteria your agents can build

Most stories arrive as a sentence and a hope. The acceptance criteria are missing, implicit, or written as "it should just work" - which means the engineer, or the coding agent, has to guess. Guessing is how you get rework, scope creep, and pull requests nobody can confidently approve.

FeatureFactory turns any story, ticket, or product plan into Given/When/Then acceptance criteria with concrete inputs, actions, and observable outcomes. Vague language is rewritten into measurable conditions, and edge cases - empty states, permissions, failure paths - are surfaced before a single line is written. Read how it works or take the product tour to see criteria generated end to end.

Because every criterion is testable, the same list that briefs the build becomes the checklist that grades it. When the agent opens a pull request, the criteria are the review gate - which is how you actually review AI-generated code with confidence instead of skimming a diff.

Acceptance criteria that close the plan-build-measure loop

Acceptance criteria answer one question - was this built the way we asked? - but on their own they stop there. FeatureFactory keeps them attached to the outcome metric the work was meant to move, so a merged story is both verified and measurable, not audited three months later in a retro.

That is the whole point of the platform: planning defines the criteria and the target number, the build ships against both, and measurement checks the released feature back against the metric it promised. Criteria met but the number flat? You know, and the next story is sharper for it.

It is the same developer-led, transparent philosophy behind everything we build. Explore the manifesto to see why we treat criteria as contracts, or start scoping from planning.

Related tools & solutions

Acceptance criteria grader tool AI product plan generator How to write a product plan AI code review Build with FeatureFactory Measure AI-generated code

Frequently asked questions

An acceptance criteria generator turns a user story, ticket, or product plan into a list of testable, unambiguous conditions that define when the work is done. FeatureFactory generates Given/When/Then criteria structured for coding agents to build against and reviewers to verify. See our guide on writing a product plan for where criteria fit.

From our design partners

“We finally have one number for whether the AI-written PRs are actually good. It changed how we staff reviews.”

SStaff EngineerSeries B fintech

“Plan from real signal, ship with agents, then see if the metric moved. That loop is the whole point.”

EEng ManagerDeveloper tools

“The measurement is transparent and the code is ours. That was the dealbreaker with the enterprise options.”

VVP EngineeringHealthcare SaaS

Measure what you ship.

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