Acceptance Criteria Generator
Generate Clear, Testable Acceptance Criteria (Gherkin + Edge Cases)
Turn a rough requirement or user story into crisp, measurable acceptance criteria. Generate Gherkin scenarios (Given/When/Then), negative cases, and a practical Definition of Done so product teams, developers, and QA stay aligned.
Acceptance Criteria
Your acceptance criteria (Gherkin scenarios, edge cases, and Definition of Done) will appear here...
How the AI Acceptance Criteria Generator Works
Get results in seconds with a simple workflow.
Paste a Requirement or User Story
Add your user story or requirement (even rough notes work). Optional context like roles, constraints, and platforms helps produce more accurate, testable acceptance criteria.
Choose an Output Format
Select Gherkin (Given/When/Then) for BDD, or bullet criteria for quick tickets. Advanced modes add deeper edge cases and API-focused criteria.
Generate and Add to Your Ticket
Copy the output into Jira/Linear/Notion. Review, tweak domain terms, and confirm edge cases with stakeholders before development begins.
See It in Action
Example of turning a vague requirement into clear, testable acceptance criteria with Gherkin scenarios and edge cases.
We need a password reset feature so users can log in again if they forget their password.
Acceptance Criteria (Gherkin):
Scenario: Request password reset link (happy path) Given a registered user with a verified email When the user submits the password reset form with their email address Then the system shows a confirmation message And the system sends a password reset email containing a time-limited reset link
Scenario: Password reset request for unknown email (security) Given an email address that is not associated with any account When the user submits the password reset form Then the system shows the same confirmation message as the happy path And no account existence is disclosed
Scenario: Reset link expired Given the user opens an expired password reset link When the reset page loads Then the system informs the user the link is expired And provides an option to request a new reset link
Definition of Done:
- Criteria above are implemented and pass QA
- Error states are handled (invalid email format, rate limiting if applicable)
- Unit/integration tests added for core flows
- Copy reviewed for clarity and security (no account enumeration)
Why Use Our AI Acceptance Criteria Generator?
Powered by the latest AI to deliver fast, accurate results.
Testable Acceptance Criteria for User Stories
Generate measurable, unambiguous acceptance criteria that QA can test and developers can implement—reducing rework, scope creep, and misinterpretation.
Gherkin (Given/When/Then) Scenarios for BDD
Create behavior-driven development (BDD) scenarios in Given/When/Then format, including happy paths and key negative cases for better automated testing coverage.
Built-In Edge Cases and Validation Rules
Cover boundary conditions, error states, permissions, and input validation so requirements are complete—especially helpful for forms, checkout flows, and account features.
Definition of Done (DoD) Checklist
Generate a practical Definition of Done tailored to the feature: testing expectations, accessibility basics, performance considerations, logging/analytics, and documentation notes.
Clear, Shareable Output for Agile Teams
Produce acceptance criteria that work well in Jira, Linear, Notion, or GitHub issues—ideal for sprint planning, grooming, and stakeholder alignment.
Pro Tips for Better Results
Get the most out of the AI Acceptance Criteria Generator with these expert tips.
Start with outcomes, not implementation
Write criteria that describe what must happen for the user, not how the code should work. This keeps acceptance criteria stable even when implementation changes.
Include validation, permissions, and error behavior
Most bugs come from missing rules: required fields, boundaries, role access, and failure states (timeouts, invalid input). Add these explicitly in acceptance criteria.
Add at least one negative scenario per core flow
For every happy path, include a failure case (invalid data, missing permissions, unavailable resource). This improves QA coverage and reduces regressions.
Use Gherkin for automation-ready clarity
If your team uses BDD or automated tests, Given/When/Then scenarios help map requirements to test cases with less translation between PM and QA.
Keep terminology consistent with your product
Use the same labels and names your UI/API uses (roles, statuses, fields). Consistent language prevents misunderstandings during development and testing.
Who Is This For?
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Write acceptance criteria that devs and QA can actually use
Acceptance criteria are one of those things everyone says they want, but they often get skipped because it feels like extra work. Then the ticket hits development and suddenly you have ten follow up questions, scope creep, and QA is guessing what “done” even means.
An AI acceptance criteria generator fixes that gap fast. You paste a rough user story, add a little context, and get back criteria that is clearer, testable, and way easier to drop into Jira or Linear without rewriting everything.
What “good” looks like is pretty consistent:
- Specific outcomes, not vague intent
- Testable conditions, not opinions
- Validation and error behavior included
- A couple of edge cases so nobody gets surprised later
That is the whole goal here. Less back and forth, fewer assumptions.
Acceptance criteria vs Definition of Done (DoD)
People mix these up, so it helps to separate them.
Acceptance criteria is about the feature behavior. What must happen for this specific story to be accepted.
Definition of Done is a quality checklist your team applies to work in general. Testing, documentation, accessibility basics, monitoring, that kind of thing.
Example, for “Reset password”:
- Acceptance criteria: link expires after X minutes, same message for unknown emails, password rules enforced.
- DoD: tests added, copy reviewed, analytics event added, PR approved, deployed to staging.
This tool generates both, because in real projects you usually need both.
When to use Gherkin (Given When Then) vs bullet criteria
Both formats are useful. They just solve slightly different problems.
Use Gherkin when
- QA is writing test cases from your tickets
- You are doing BDD or automation
- The feature is a flow with steps and states (signup, checkout, onboarding)
- You want fewer interpretation gaps between PM, dev, and QA
Gherkin forces clarity. If you cannot write the Given and the Then, the requirement probably is not ready.
Use bullet criteria when
- The change is small and straightforward
- You need something fast for a sprint ticket
- The story is mostly validations and rules (field requirements, permissions)
Bullets are quicker, and still better than “make it work like before”.
A simple template you can steal
If you are writing acceptance criteria manually, start with something like this and fill in the blanks.
Acceptance Criteria (bullets)
- Given
[user role], when[action], then[result]. - Input validation:
[rules, boundaries, required fields]. - Permissions:
[who can do what]. - Errors and empty states:
[what happens when it fails]. - Tracking and notifications (if relevant):
[events, emails, banners].
Then add one or two negative cases. Even just one helps a lot.
Common edge cases teams forget (until QA finds them)
These show up constantly, especially in auth, checkout, and forms:
- Unknown resource but same message returned (avoid account or data enumeration)
- Rate limiting, lockouts, retry behavior
- Timeouts and network failures
- Boundary values (min max, zero, very large)
- Duplicate submissions and double clicks
- Permissions for read vs write actions
- State changes mid flow (expired token, item out of stock, subscription canceled)
If you include these up front, QA is faster and you get fewer last minute surprises.
Tips to get better output from the generator
The tool works with rough notes, but a tiny bit of context makes the results way more accurate.
Try adding:
- Platform: web, iOS, Android, API only
- Role and permissions: admin vs user vs guest
- Constraints: password rules, max upload size, required fields
- Current behavior: what happens today, what should change
- Success metrics: what counts as success for the user
Also, use your product vocabulary. If your UI says “Workspace” and your team says “Org”, pick one and stick with it.
If you are building a whole set of workflows and SEO utilities like this, you might also want to browse the rest of the tools on the main site. The toolbox over on SEO Software is meant to be copy paste friendly for real tickets, docs, and planning.
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