Refine the requirement
Turn raw product intent into a QA-ready artifact with scope, acceptance criteria, risks, and open questions.
QA intelligence for release teams
Know when you're actually ready to ship.
Release Signal helps QA teams turn requirements, test suites, reviews, and execution evidence into a structured release-readiness signal.
Controlled beta | First come, first served | Request access through [email protected]
Release Signal provides QA assistance and release-readiness support, but it does not replace human QA judgment or final release approval.
The problem
More test cases don't equal more confidence.
QA teams need evidence they can review, explain, and improve. Release Signal helps turn messy planning inputs into structured artifacts that support clearer release conversations.
- Requirements are scattered across tickets, documents, and chat.
- Test suites grow in volume without proving risk coverage.
- Review gaps remain invisible until late release conversations.
- Release calls are hard to explain when evidence is not structured.
How it works
From rough requirement to readiness support in seven steps.
Generate a test suite
Create structured test cases that can be reviewed, improved, exported, and tied back to the requirement.
Review coverage
Inspect coverage, diagnostic value, risk focus, and test-design quality before execution work begins.
Improve the plan
Address review gaps while preserving the structured test-suite workflow.
Export artifacts
Export Release Signal artifacts as clean JSON or CSV for sharing, documentation, or manual mapping.
Log execution evidence
Submit structured execution outcomes without turning execution notes into test design truth.
Get your readiness signal
Use deterministic logic over current artifacts to produce a release-readiness signal for review.
Features
Built for structured QA decisions, not one-off prompt output.
Requirement refinement
Clarify scope, business rules, acceptance criteria, edge cases, risk areas, and unanswered questions.
Structured test-suite generation
Move from requirement intent to reviewable cases with priorities, steps, expected results, tags, and notes.
Test-suite review
Find weak diagnostics, missing risks, unclear expected results, and coverage gaps before execution.
Plan improvement
Strengthen coverage and clarity while keeping the suite structured, explainable, and reviewable.
JSON / CSV export
Take structured QA artifacts into downstream documentation, reporting, or manual QA workflows.
Readiness signal
Evaluate readiness through deterministic rules over requirements, suites, reviews, and execution evidence.
Differentiator
AI helps. Your QA stays the source of truth.
AI can assist with drafting and analysis, but Release Signal keeps product truth in structured artifacts and deterministic system logic.
Release Signal provides QA assistance and release-readiness support, but it does not replace human QA judgment or final release approval.
- AI assists with drafting, analysis, and summarization; structured artifacts remain the source of product truth.
- Generated outputs should be reviewed by the QA or release owner before they influence release planning.
- During beta, avoid uploading secrets or sensitive production/customer data unless terms explicitly allow it.
FAQ
Clear boundaries for the controlled beta.
Is Release Signal just an AI test generator?
No. Test generation is one workflow step. Release Signal focuses on structured requirements, reviewable test suites, coverage review, execution evidence, exports, and a deterministic readiness signal.
What is a release-readiness signal?
It is a structured signal derived from the current requirement, test suite, review result, and execution evidence. It supports the release conversation; it does not approve a release by itself.
What do I get in the 10-day beta trial?
Accepted beta users can try the Release Signal workflow for requirement refinement, structured test-suite generation, review, improvement, export, execution evidence, and readiness support.
Does Release Signal replace QA approval?
Release Signal provides QA assistance and release-readiness support, but it does not replace human QA judgment or final release approval.
Can I export my work?
Yes. Release Signal supports JSON and CSV export for structured test-suite artifacts, intended for sharing, documentation, reporting, or manual mapping.
Does it generate Playwright or Cypress code?
No. The current beta focuses on QA planning artifacts, review, execution evidence, export, and readiness support, not automation-code generation.
Should I upload production secrets or sensitive customer data?
No. During beta, do not upload secrets, credentials, regulated data, or sensitive production/customer data unless the applicable terms explicitly allow it.
Controlled beta access
Start with one requirement. See how strong your release evidence really is.
Request access through [email protected].