Review AI Deliverables and Talk-Time Limits

Use human QA and interpret speaker talk-time cautiously.

Best for: Authorized producers, analysts, accessibility leads, organization owners, and support staff.

Before you start

Availability depends on role, event access, plan entitlements, retained source data, export/AI/statistics features, and privacy policy.

• Confirm exact organization, event, language, and reporting period.
• Verify requester, recipient, and retention/privacy authorization.
• Preserve raw source data before cleanup, editing, or deletion.

Review workflow

1. State use. Internal, public, client, compliance, action tracking.
2. Compare source. Sample every section/high-impact claim.
3. Verify entities/negation. People, dates, amounts, decisions.
4. Check omissions/bias. Caveats, uncertainty, minority views, untranslated content.
5. Review talk time. Routing, diarization, overlap, silence, missing segments.
6. Review translations separately. Errors compound.
7. Mark limitations. Coverage, locale, generated status, reviewer.
8. Approve/reject. Record final version.

What success looks like: The deliverable or analysis is correct for the intended scope, reviewed, reproducible, and protected according to policy.

Check your setup

• Supported conclusions/limits documented.
• Talk-time range aligns.
• No unsupported action as fact.

Troubleshooting

Impossible talk time

Check routing, diarization, overlap, range.

Contradiction

Reject/correct with source time.

Translated difference

Review source and translation separately.

Security and operational notes

• Talk time is not performance quality.
• Avoid automated personnel decisions.
• Retain provenance.

Related guides

• Generate Highlights, Summary, Chapters, and Action Items
• Troubleshoot Multi-Speaker Attribution
• Security and Privacy

Documentation status: Draft for operational, privacy, and analytics review before publishing.