Use case
Release reviews that don't depend on tribal memory.
Run a structured QA cycle per build with a shared queue, severity gates, and a permanent history.
The workflow
Three steps from feedback to fix.
Open a cycle per build
Tag every report with the build SHA so history is traceable.
Review against gates
Define severity gates that must be clear before sign-off.
Sign off and ship
QA leads sign off with one click; the cycle is archived for audit.
Close the loop
Reporters see status updates the moment the build ships — no Slack ping required.
Outcomes
- Repeatable, auditable release readiness in one tool — no more spreadsheet of build statuses.
- Severity gates surface blockers before they land in production.
- Historical pass/fail by build to inform process changes and retro discussions.
- Sign-off events are immutable and exportable for compliance handoff.
Frequently asked questions
Can multiple reviewers work in parallel?
Yes — assignments and locks prevent two reviewers from clobbering each other. Real-time presence shows who is reviewing what, and the shared triage console updates as pins land.
Do we get exportable history?
Yes — cycles export to CSV and the audit log streams to your SIEM via the webhooks API. Sign-off events are immutable.
How do severity gates work?
Define the severities that must be clear before sign-off (typically S0 and S1). Until every blocker resolves, the cycle cannot close. AI-suggested severities can be accepted in bulk via AI triage.
Can AnchorMark run the deterministic checks for us?
Yes. AI-assisted QA runs SEO, accessibility, hygiene, and brief-aware brand checks automatically and presents pass/fail verdicts a reviewer can bulk-accept.
Does this replace our QA management tool?
AnchorMark complements scripted-test tools. We focus on the capture, triage, and sign-off cycle; scripted suites stay where they are. Many teams run AnchorMark alongside a TestRail-style tool without overlap.
How do reviewers know which build a report belongs to?
Tag the build SHA in the SDK or extension at capture time. Every report carries the SHA into the cycle, the tracker, and the audit log so historical lookups are unambiguous.
Keep exploring
Automatic context capture
Every report ships with the screenshot, console errors, network failures, browser, OS, and viewport — captured automatically.
AI triage
Claude clusters duplicates, drafts severity, and writes the first summary so triage takes minutes, not hours.
Browser extension
Capture pinned feedback on any site you visit — staging, production, or a competitor's page — without an SDK install.
AI-assisted QA
AnchorMark audits pages for SEO, accessibility, hygiene, and brand fit, then proposes pass/fail verdicts on every checklist item for a reviewer to accept in one click.