Operating ProcedureExecution layer

Deliverable Acceptance Gate (QA)

A checklist with 7 steps: Freeze the reference brief before any editor opens the timeline.

By InnovaAI ResearchPublished

What are the steps?

checklist

Deliverable Acceptance Gate (QA)

  1. 01

    Freeze the reference brief before any editor opens the timeline

    Lock the approved script, aspect ratios, caption language set, and brand asset pack into one versioned folder, then record the exact date the client signed off on it.

  2. 02

    Score the first cut against the brief on a fixed rubric, not on taste

    Rate caption accuracy, audio loudness consistency, color match to brand kit, and cut pacing on a 1 to 5 scale per dimension so two reviewers can compare notes without arguing about preference.

  3. 03

    Time the correction pass with a stopwatch and log the minutes

    Track how long the editor spends fixing caption timing, silence removal, and transition placement. A cut that needs 90 minutes of correction is a different economic object than one that needs 15.

  4. 04

    Verify caption and subtitle output in every language the client requested

    Spot-check proper nouns, product names, and numbers in each target language. Automated captioning across 123 languages still mishears brand terms, and a wrong client name in a published short is a rework event.

  5. 05

    Confirm rights and consent artifacts before the file leaves the building

    Check music licenses, stock clip terms, contributor releases, and any voice cloning consent record. Voice cloning APIs are now benchmarked on consent checks, and a missing release blocks distribution.

  6. 06

    Run the client-facing review in a single thread with timestamped comments

    Consolidate feedback into one annotated pass rather than three overlapping email chains. Each round trip costs a full editor hour plus a project manager hour.

  7. 07

    Record accepted-versus-rejected deliverables per editor per week

    Count deliverables the client accepted without a second revision. That ratio, not raw output volume, is the number that tells you whether the editing workflow is actually working.