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Why This Matters

Quality review is the step that gets skipped when the launch date is tomorrow. Not because anyone thinks it’s optional — because it’s manual, it’s slow, and it’s the last thing standing between a finished page and a deadline. So it gets sampled: check a few pages, assume the rest are fine, ship. Then the disclaimer is missing on the one page a regulator looks at, or the brand name is styled three different ways across a campaign, or the alt text is empty on the hero of the highest-traffic page on the site. QA reports run on every output rather than a sample, before anything reaches a human reviewer — so review becomes a decision, not an inspection.
QA reports evaluate content against the rules your organization has defined — surfacing failures, explaining why they occurred, and guiding resolution before content reaches reviewers or goes live. Rules are configured in the Rules Manager. Once rules are active, QA runs automatically on every task output.

Reading a QA Report

When a QA review runs, Gradial generates a report showing how content performed against each active rule.

Report summary

At the top of every report:

Result detail

Each rule result includes: Click any result to expand the full explanation — including the exact content that triggered the failure and guidance on how to fix it.

Status definitions

  • Passed — Content meets the standard
  • Failed — A violation was detected that must be corrected
  • Incomplete — Automated testing found something that requires manual verification before a final determination can be made

Issue types

QA reports surface issues across five categories: Not all issues carry equal weight. Compliance and accessibility failures have regulatory implications; editorial issues may be lower priority. Use the severity and explanation fields to triage.

QA in your content workflow

1

Author creates content

The authoring agent produces output guided by active rules. Planning-agent rules apply early, before authoring begins. Integration-agent rules apply during content creation.
2

QA runs automatically

After the authoring agent completes work, the QA agent evaluates the output against all active rules for that workspace and integration.
3

Report surfaces issues

Failed and incomplete checks appear in the report with explanations. Content with failures is flagged before it reaches a human reviewer.
4

Author resolves and re-runs

Fix the flagged issues and re-run QA to confirm. Content with a clean report moves to review with confidence.
5

Reviewers focus on higher-value feedback

With baseline quality validated automatically, reviewers can focus on strategic messaging, creative direction, and stakeholder alignment — not catching compliance issues.

Scaling QA across teams

QA reports are most valuable when distributed teams — regional marketers, agency partners, extended business teams — are creating content without deep familiarity with every brand guideline. The report explains, not just flags. Each failure includes the reasoning: what the rule requires, what was found, and how to fix it. Authors self-correct before submitting for review, which reduces back-and-forth. Pass rates improve over time. As authors encounter and resolve the same rule types repeatedly, the failures decrease. Teams that track pass rates over time see measurable quality improvement without increased review overhead. Give the trend a home. A per-output report answers “is this page ready”; it doesn’t answer “how are we doing.” Ask Grady for a custom app to get a dashboard across QA results — pass rates by team or campaign, the rules that fail most often, and what’s still waiting on a fix. Add rules as patterns emerge. If the same issue keeps appearing and no rule currently catches it, add one. The rules library grows in response to real production patterns.
To configure the rules that power QA reports, see Rules & Skills. For accessibility-specific results and WCAG remediation guidance, see Accessibility Reports.

Who this is for

How this maps to your function

In a regulated environment the cost of a missed disclosure isn’t a correction — it’s exposure. Sampling is the standard practice because full review doesn’t scale manually, which means the assurance you have is statistical rather than actual. Checks that run on every output change what you’re able to claim. See Regulated Industries & Compliance Workflows.
Brand drift is rarely a decision. It’s the accumulation of small inconsistencies introduced under deadline — the name styled two ways, the CTA that doesn’t match the pattern, the tone that slipped. Consistent automated checks make the standard real at the point content is produced, rather than something audited quarterly and corrected retroactively.