How to make sure everyone on the team gets seen, not just the loudest

Last updated 2026-09-05 · 7 min read

What is the short version?

Left to itself, any edit gravitates to the person who talks most and films best. That produces a good video and a bad message, because the people who were there and did not get on screen will notice before anybody else does.

1. Go to Vizard Agent with the footage.
2. Say every member of the team must appear at least once.
3. Say it has to be clear and individual, not "in the background".

What do you need before you start?

Footage that actually contains everybody, and a way to tell them apart. If somebody was never filmed, no editing rule fixes that — and it is much better to find out at the brief than at the review.

• The footage. All of it, not the highlights.
• Who is on the team. Names, or a photo.
• What counts as appearing. On screen alone, or just present.
• Anyone who leads. If one person should still carry it.
• The runtime. It sets how many moments there is room for.

What do you type into Vizard Agent?

Say "clearly and individually". Those two words are the whole instruction — without them, a wide shot with eight people in it satisfies "everyone appears" while showing nobody, which is exactly the outcome you are trying to avoid.

Prompt

Variants worth knowing:

• "Clearly and individually." Rules out the group wide shot.
• "Not only the main presenter." Names the default to break.
• "At least one moment each." A checkable requirement.

What does Vizard Agent actually do?

Here is the order Vizard Agent worked in on a real promotional video for a live broadcast team of presenters. Steps three and six are the two that turn "show everyone" from a good intention into something Vizard Agent can actually verify against the footage.

1. Looks at the uploaded stills of the people involved.
2. Reviews the frames of every clip, one clip at a time.
3. Compares the faces of each team member against each other.
4. Compares the framing of the clips that cover the same people.
5. Defines the crops with coordinate references rather than by eye.
6. Locates each member on screen across the material.
7. Chooses the best shots from the remaining footage.
8. Checks one crop in detail where the framing was tight.
9. Normalises every shot and reviews them as a set.
10. Reviews the final order of the shots.
11. Scans the wider material second by second for anyone still missing.
12. Checks the corrected shots and the last framing adjustments.
13. Reviews the rendered video frame by frame before delivery.

Step three is what makes the rest possible. Before it can guarantee that everyone appears, it has to be able to tell them apart — so the faces are compared against each other first, and each person becomes something the edit can be checked against.

Step eleven is the sweep that catches the last one. When a few people are covered and one is not, the remaining footage gets scanned properly rather than searched hopefully — which is how the person who was only ever in the background at second forty gets their moment.

What does the result look like?

A cut in which every member of the team has at least one shot that is unmistakably them, cropped by Vizard Agent so they are recognisable rather than present, and where the presenter who carries the show still carries it.

The difference is felt internally more than externally. Viewers see a team; the team sees whether they were in it.

When does this not work well?

The rule is only ever as good as the footage underneath it. Someone who was never filmed clearly cannot be shown clearly by Vizard Agent or anyone else, and a very short runtime puts a hard limit on how many individual moments there is actually room for.

• Somebody who was never filmed. Nothing to cut to.
• Only wide group shots. No one is individually visible.
• A very short runtime. Eight people in fifteen seconds is a flash.
• Poor light on one person. Their shot will not match the others.
• Large teams. Past a dozen, consider a group card instead.

How do you fix a result that came back wrong?

Name the person who is missing or unclear rather than describing the video. Vizard Agent keeps the face comparisons, the measured crop coordinates and the shot order, so adding one person's moment re-cuts the sequence around them rather than rebuilding the whole thing.

• "You missed her." The footage re-scanned for that person.
• "He's only in a wide shot." Re-cropped to make him individual.
• "Too much of one presenter." Rebalanced across the set.
• "Wrong order." Re-sequenced; the coverage held.

How does Vizard Agent compare to doing it yourself?

By hand this is a checklist job, and checklists are exactly what gets skipped when an edit is nearly finished and looks good. The person who is missing is usually the one who was quietest on the day, which is also why nobody notices until they do.

Common questions

Do I need to name everyone? It helps. A photo of each person works too.

What counts as appearing? You decide, and tell Vizard Agent. It defaults to clearly and individually.

Can one person still lead? Yes. Say so and Vizard Agent keeps them prominent while covering the rest.

What if someone was never filmed? Vizard Agent tells you rather than pretending a wide shot counts.

How many people can it handle? As many as the runtime allows. Past a dozen it will suggest a group shot.

Will the video feel like a checklist? Not if there is room. Vizard Agent works the moments into the cut.

Can it check without re-editing? Yes. Ask Vizard Agent who appears and for how long.

Does it work for a long recording? Yes. That is where Vizard Agent scanning beats anyone remembering.

What about people in the background? Tell Vizard Agent whether that counts. By default it does not.

Can it give equal time? Roughly. Exactly equal usually makes a worse video; say if you need it.

Will the crops match each other? Yes. Vizard Agent normalises the shots as a set.

Can it add name captions? Yes, once Vizard Agent has identified each person.

What if two people look similar? Give Vizard Agent a note or a clearer photo of each.

Why does this matter so much? Because a team video is a statement about who counts, and the people in it read it that way whether or not it was meant that way.