---

seo_title: Motion Control QA Checklist: Catch Drift Before Client Review
slug: motion-control-qa-checklist
meta_description: A practical motion control QA checklist for AI video teams: stop identity drift, flicker, and off-brand frames before you share drafts for approval.
primary_keyword: motion control QA checklist
related_terms: motion control quality checklist, AI video QA workflow, start frame approval, identity drift prevention, video review checklist

Motion Control QA Checklist: Catch Drift Before Client Review

If you ship AI video drafts too early, you don't just get "feedback"—you get scope creep: new direction debates, brand concerns, and lengthy revision threads.

A simple fix is to treat QA like a gate. Before you send anything to a client or internal approver, run a fast motion control QA checklist that catches drift, flicker, and composition breaks while fixes are still cheap.

If you're using Zorq AI, the same checklist applies whether you generate with Kling v3 Motion Control or Kling v2.6 Motion Control.

Why QA is the fastest way to reduce "endless feedback"

Most review cycles explode for one of three reasons:

1. The start frame wasn't approval-grade, so motion just amplifies problems.
2. The draft contains one bad moment (a single off-brand frame), and reviewers lose trust.
3. There's no shared "pass/fail" rubric, so the team argues about taste instead of criteria.

A QA gate gives you a repeatable standard: pass = share, fail = fix.

The 10-minute motion control QA checklist (pass/fail)

Use this as a quick scan before any external review.

1) Start frame integrity (still-first)

• Pass: the first frame matches the approved still (composition, subject, product placement).
• Fail: new elements appear, cropping shifts, or the "hero" changes shape.

If it fails, fix the still first. Don't try to "correct it in motion."

2) Subject identity drift (the "same character/product?" test)

• Pass: the subject looks like the same entity across the entire clip.
• Fail: facial features, logo shape, product geometry, or materials morph noticeably.

Tip: scrub the timeline and pause on 3 random frames. Drift hides between "good" moments.

3) Off-brand intrusions (color, background, wardrobe, props)

• Pass: background and palette stay within brand boundaries.
• Fail: sudden neon colors, random props, or stylistic switches that weren't in the brief.

4) Flicker and lighting stability

• Pass: lighting changes feel intentional (one smooth shift maximum).
• Fail: exposure pulses, highlights jump, or shadows crawl.

5) Motion correctness (one move, one intent)

• Pass: the camera move is readable and consistent (push, pull, orbit, tilt—pick one).
• Fail: the clip combines multiple moves or introduces wobble or warp.

6) Edge and deformation scan

• Pass: edges stay stable (hands, logos, product corners, text blocks).
• Fail: melting, warping, or "rubber" geometry at any point.

7) Readability gate (2-second comprehension)

• Pass: a viewer understands the main promise within 2 seconds.
• Fail: the subject is too small, too busy, or blocked by motion.

8) Cropping safety (format + safe areas)

• Pass: the hero stays inside safe areas for your target format (9:16 / 1:1 / 16:9).
• Fail: heads cut off, product exits frame, or critical info sits on the edge.

9) Duration and loop sanity (if it's used as a loop)

• Pass: it ends cleanly; if looping, the transition isn't jarring.
• Fail: last frame breaks composition, or the end has a glitch moment.

10) Version labeling (so feedback is actionable)

• Pass: you can point to a version name and say what changed.
• Fail: reviewers comment on "the one you sent yesterday" and nobody knows what it was.

A lightweight naming rule: date + shot + change (e.g., 0421-shotA-push-in-slower).

Click-by-click in Zorq AI (fast QA workflow)

This is one simple way to run the checklist without overthinking it:

1. Open Generator: https://www.zorqai.io/video
2. Upload (or generate) your start image.
3. Choose a motion direction or clip (from the library if needed): https://www.zorqai.io/library
4. Generate with your chosen model (Kling v3 Motion Control or Kling v2.6 Motion Control).
5. In the preview panel, scrub the clip and pause at problem frames to confirm failures.
6. Save the best version.
7. Review all versions later in History: https://www.zorqai.io/history

If you're not signed in, use: https://www.zorqai.io/sign-in?callbackUrl=%2Fvideo

What to do when a clip fails QA (the smallest-fix-first rule)

When QA fails, avoid changing everything. Fix the smallest upstream lever first:

1. Still/start frame fix (composition, product placement)
2. One motion parameter (speed or move type)
3. One constraint (background simplification, fewer props)

Then re-generate and re-run the same checklist.

FAQ

What's the single most important QA gate for motion control?

Start frame integrity. If the still isn't right, motion control just spreads the error.

How many QA checks should I run before client review?

Run all 10 for anything external. Internally, you can start with checks 1–5 and expand if you spot issues.

Should I compare Kling v3 Motion Control vs Kling v2.6 Motion Control in QA?

Compare outputs only when your start frame and brief are the same. Otherwise you're testing two variables at once.

What if the clip is "mostly good" but has one bad frame?

Treat it as a fail. Reviewers remember the glitch frame more than the good seconds.

Conclusion: ship fewer drafts, win faster approvals

A motion control QA checklist sounds like extra work, but it's the opposite: it prevents long feedback loops.

If you want cleaner approvals, run QA as a gate—then share only the versions you'd defend.

Try the workflow in Zorq AI:

• Start here: https://www.zorqai.io/
• See plans: https://www.zorqai.io/pricing
• More workflows: https://www.zorqai.io/blog