Clip Approval Gate (QA)
A checklist with 7 steps: Freeze the client's brand voice rules into a one-page caption and pacing sheet before any clip batch runs.
By InnovaAI ResearchPublished
What are the steps?
Clip Approval Gate (QA)
- 01
Freeze the client's brand voice rules into a one-page caption and pacing sheet before any clip batch runs
Capture banned phrases, approved hooks, on-screen text limits, and pacing preferences. Every reviewer scores against this sheet, not personal taste.
- 02
Run the auto-clip pass and cap the first batch at 10 clips per source video
Tools such as OpusClip and Klap will surface dozens of candidates; a capped batch keeps review time under 45 minutes and forces selection discipline.
- 03
Score each clip on hook strength, caption accuracy, and brand fit using a 1 to 5 scale
Any clip scoring below 3 on brand fit is rejected regardless of engagement potential. Log the score so patterns surface across batches.
- 04
Verify word-level caption accuracy against the transcript, including names, numbers, and product terms
Auto-captioning across 100+ languages still mishears jargon. A 30-second spot check per clip catches the errors clients notice first.
- 05
Check vertical reframing for cut-off faces, cropped logos, and dead space
Auto-reframe in Vizard and Spikes handles most cases, but speaker movement mid-clip can push a subject out of frame.
- 06
Confirm at least two clips per batch carry a distinct narrative angle rather than a repeated talking point
Homogenized feeds erode client differentiation. If the batch reads as one idea cut five ways, send it back for a second pass.
- 07
Route the approved set to the client with a single consolidated review link and a 48-hour response window
Bundling approvals into one touchpoint prevents revision sprawl and keeps delivery on a predictable weekly rhythm.