One release-confidence view.
What is ready, what is still open, and the evidence to proceed or pause. The release owner makes the final call.
Hold, until the payment risk is closed.
One ready journey does not clear the release. Payment confirmation stopped in Safari, and settlement notification has no evidence on this build. Fix the open journey, rerun it, then reassess.
The person still decides
A product lead still chooses: release, hold, or accept a known risk. This packet is the evidence. It does not ship the product.
Hold
Pause until the payment risk is resolved.
Critical journeys
3 in this release
Customer onboarding
Ready
Latest run finished, evidence attached.
Payment confirmation
At risk
Safari stopped before the confirmation screen.
Open risk
Payment confirmation
The customer never reaches the confirmation screen.
Run · Screenshot · Defect
Payments owns the fixStudio run
Settlement notification
No evidence
This release has not been checked.
Signals in this release
Blocks this release
- Critical journeysAt risk
- Functional behaviorAt risk
Cleared
- Change impactReviewed
Not checked yet
- Performance & capacityPending
- Content & languagePending
- AccessibilityPending
- Security & complianceNot assessed
After release
- Production healthMonitor after release
Decision trail
Evidence
Open risk
Human release decision
- Release
- Hold
- Accept a known risk
A check with no evidence stays on the page. It is never read as ready.
Release readiness changes how products move to market.
Validation, ownership, and evidence move into the development lifecycle.
One continuous path from a product change to an evidence-based release decision.
Timing
Validation begins after development.
Readiness evidence develops alongside the product.
Ownership
Quality sits with a downstream function.
The product team owns readiness; specialists govern risk.
Decision
Functions issue separate approvals.
One release decision brings the business evidence together.
Dependency
Execution relies on scarce skills and maintained scripts.
Reusable workflows reduce repeated setup and skill dependency.
Learning
Production insight remains separate.
Production behavior informs the next product change.