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Interviews reward fluency; the job rewards judgment. The questions below are scenario-first on purpose — past specifics and decisions under constraint predict, rehearsed strengths don't. Pair them with the graded work sample at the end and you have most of a real screening process.

1I hand you a 40-minute podcast recording. Walk me through how you find the three clips worth cutting.

What a strong answer shows: Hook-hunting, not chronology: they scan for moments with a strong claim, an emotional beat or a curiosity gap, and think about where each clip's first two seconds come from. Editors who start at minute zero and work forward produce clips nobody finishes.

2Show me your best edit — and tell me the strongest thing you cut OUT of it.

What a strong answer shows: The cut-material answer is the real one: good editors can name a moment they loved that didn't serve the piece. An editor with no kill-list keeps everything, and it shows in the pacing.

3What has to happen in the first two seconds of a short?

What a strong answer shows: A specific theory: the claim or question lands immediately, text and motion make it legible with sound off, no logos or wind-ups. They should be able to cite what they've seen work — and what they've tested.

4The client says this week's delivery feels 'flat'. What do you check, in what order?

What a strong answer shows: A diagnostic list: cut density and pacing first, then music choice and sound design, then the hook, then whether the source material itself was thin — turning vague feedback into checkable parts instead of guessing at a re-edit.

5A client's personal taste conflicts with what measurably performs. How do you handle it?

What a strong answer shows: Data plus diplomacy: show the numbers, propose a test — their version and the performing version — and let results decide. Editors who silently comply or silently override both lose the account eventually.

6Which AI tools are in your pipeline — captions, silence-cutting, anything — and what do you always finish by hand?

What a strong answer shows: Uses the speed tools happily, and names the hand-finished layer: caption timing and emphasis, the exact cut frames, colour and sound polish. 'The tool does it' end to end looks exactly like the tool did it.

7How is a project of yours organised so that revision four doesn't break the timeline?

What a strong answer shows: A real structure: labelled sequences, versioned exports, organised bins, source backups. Revision chaos is invisible in a showreel and fatal on a weekly schedule.

Red flags, from reading a lot of these

Then test the work, not the talk

The single highest-signal step isn't a question at all. For video editors: A recut brief on existing footage plus their best real edit. Graded work under a written rubric is how our own screening scores every candidate — here's a real sample shortlist showing what that evidence looks like.

Or let the screening run for you

Describe the role once and we run this whole process — sourcing, scenario answers, graded work samples, a second AI-tailored interview round — and hand you three scored finalists. The search runs free; the flat $1,995 is due only when you want introductions.

Hire a video editor — search runs free

Common questions

How many interviews should I run for a video editor?

Two, at most — one structured conversation built on questions like these, and one review of graded work. Adding a third round rarely adds signal; it mostly adds weeks, and in this market the good candidates are gone by then.

Should I send questions in advance?

Send the work sample in advance — polished written work under no time pressure is exactly what you're buying. Keep the scenario questions for the live conversation, where you can probe the first answer; the follow-up is where rehearsed answers fall apart.

Can't candidates just answer these with AI?

Written answers, sometimes — which is why the live follow-up matters, and why our own screening grades the thinking in an answer rather than its polish. Ask 'what happened next?' or 'why that order?' and a borrowed answer runs out of depth in one exchange. A candidate using AI well day-to-day is a positive signal; a candidate who can't defend their own answers is the flag.

What actually predicts a good hire?

Graded work beats conversation. Interviews reward confidence and fluency; a role-specific scenario plus a real work sample rewards the actual job. Use the interview to probe judgment and verify the work is theirs — not to guess at skill from charisma.

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