What goes in and what comes out

Who it is for

Support and knowledge base teams

Support engineers, knowledge base owners and self-service leads who answer the same questions repeatedly and also write the articles meant to prevent them.

What you start with

A published article and your own capture

The help center article, macro or internal fix note that already exists, plus a recording of the real product made by your team on a test account. VisionStory does not record your product for you.

What you get

Short video answers, one problem each

One video per issue with a consistent presenter, generated narration and captions, ready for review and then for the article, the macro reply or wherever your customers already look.

What the ticket queue is already telling you to make

Support teams do not usually have a content problem. The articles exist, they were accurate the week they were written, and the person who wrote them is the same person working the queue this morning. Trouble starts after publication, when the product moves, the reader is halfway through a bad afternoon, and the answer has to be findable before somebody gives up and opens a ticket. Those are the moments a short video beats a paragraph, and they are the ones worth making first.

Answer the ticket that keeps coming back

The macro is written, it is good, and your team sends it out again on Tuesday morning for the fourth time that week. It links to an article with three steps, and the reply that comes back is the one that always comes back: which menu, and my screen looks different. Two more replies go out, a screenshot gets annotated by hand, and forty minutes have gone into a problem that was solved in writing eleven months ago.

A ninety-second video attached to that same article changes what the customer has to do: watch the menu open rather than picture it from a sentence. The article stays where it is and keeps ranking, and the video sits inside it and inside the macro. Be honest about the gain. The realistic change is not that the ticket vanishes, it is that the second and third round of replies stop, because nobody has to describe a screen in words again. VisionStory makes the video from what you already wrote; whether it deflects anything depends on whether the customer finds it.

The screenshot in the article is not the screen the customer has open

Somewhere in that article there is a picture of the Settings page. It was accurate the day it was captured, three releases ago, and the panel has been reorganised twice since. Or the picture is perfectly current and the customer is running the interface in another language, where the control the article calls Integrations is simply not spelled that way on their screen. Either way the reader is hunting for a word that is not in front of them, and after a few minutes of hunting they stop and write in instead.

A recording made against the build currently shipping takes that guesswork out. The customer watches the pointer travel to the control and can match its position, its shape and the moment it responds, even when the label on their own screen reads differently. It also makes drift visible in a way a stale screenshot never manages, because a video showing a panel that no longer exists is obvious to anyone who opens it. That only pays off if someone owns the check, so record which build the video was made against and treat a release that moves that screen as a reason to shoot it again.

Three agents, three correct answers, one confused customer

Ask three people on your team how to clear the sync error and you get three routes. One flushes the cache first, one goes straight to the integration settings, one has a shortcut that never made it into writing. None of them is wrong and all three get the customer there. The customer, though, sees more than one, because they compare notes with a colleague or reopen the same ticket a month later and get the other version. Working out which one to trust becomes a ticket of its own.

One video for that problem makes one route the house route. The article and the macro reply point at the same ninety seconds, the person who joined last month sends what the five-year veteran sends, and the follow-up asking which step is actually the right one stops arriving. It also gives the team a single place to have the argument. Settle the sequence once, while the draft is being reviewed and the people who work the queue are looking at it together, rather than in twelve separate ticket threads afterwards.

Name it the way the customer would search for it

Internally the thing is called Workspace Sync, so the video gets named after it, filed under it, and nobody outside the building ever types those two words. Customers type what is in front of them and what is in their head: the error message, the button they cannot find, the thing that did not happen. An answer that is genuinely good but titled in product language is invisible to the person who needs it, and they open a ticket while it sits there being good.

So title it the way the question arrives in the queue, use the error text verbatim where there is error text, and then put the file where the question actually gets asked instead of only on a video channel. That means inside the article, inside the macro your team sends, and next to the control in the product if there is anywhere to put it. The files come out of VisionStory named however you choose to name them. Which macro they land in, which article they sit inside and whether your search surfaces them is decided by the support team that runs the help center.

Rescue the clip one agent recorded for one customer

The best explanation of this problem already exists. An engineer recorded it eighteen months ago for one frustrated account, at whatever resolution the screen recorder defaulted to, with a window title showing the customer's company name. It is sitting in a ticket thread. Everyone on the team who has been there long enough knows it exists and links to it privately, and it has never been part of the help center because it was never made to be seen twice.

Two things stand between that clip and the article. The first is that it is soft, compressed and hard to read at full width, which AI Video Enhancer repairs without touching timing or audio, so anything already narrated against it still lines up. The second is not a technical problem at all: the account name, the ticket ID and anything else identifying that customer has to come out, or the step has to be re-recorded on a test account. Enhancement makes an old capture legible. It does not make it safe to publish, and that call is yours.

How support teams use VisionStory

Before anything gets recorded, open the article you are about to film and find out when it was last edited, then line that date up against the releases that have shipped since. That single check decides how much of this is a video job and how much of it is still a documentation job. Once the written answer matches the product, the steps below turn it into something a customer can watch.

Before anything is published, the support lead confirms that every step matches the product version currently shipping, and that no real customer data, account name, email address or ticket detail appears in any frame, caption or narration line.

  1. 01

    Turn the published article into a first cut

    Hand AI Video Agent the current article, the macro your team sends with it and your screen capture. What comes back is an editable multi-shot cut that follows the order of the article, with narration written from your own wording, captions laid in, and a presenter and voice attached. Read it as a proposal from someone who has not seen this week's build. The engineer who owns the topic plays it against the shipping product and checks that three things line up: the menu names spoken and captioned, the error text quoted on screen, and the version the steps assume. Whatever the last release moved gets recaptured or cut before the draft goes any further.

    Feature AI Video Agent
    AI Video Agent
    Turn a prompt, URL, PDF or script into an editable multi-shot video draft with an avatar, voiceover and captions.
  2. 02

    Put the presenter beside the screen, never on top of it

    Generate the presenter as a green screen layer and take it into the editor your team already uses, where it is keyed out and placed in a corner of your product recording. The customer sees the menu open and the button get clicked while a person explains what is happening and what a correct result looks like. VisionStory produces the presenter layer only: it does not record your product and does not composite the two, so your team captures the screen on a test account and confirms no customer name, email or ticket ID is visible before the layers go together.

    Tool Green Screen Video
    Green Screen Video
    Create a presenter layer that can be composited beside a product, screen or scene.
  3. 03

    Narrate with a house voice rather than one employee's

    Support libraries are large and they change often, so tie the narration to the product instead of to a person. AI Voice Generator produces the read from a chosen voice and language, with 1,000+ voices to pick from, which means an article revised after a release can be re-narrated the same afternoon by whoever owns the topic and the library still sounds like one team. Pick one voice and keep it across the library. Then listen back to product names, error strings and units, because that is where a generated read most often goes wrong.

    Tool AI Voice Generator
    AI Voice Generator
    Generate natural voiceovers with a selected voice and language.
  4. 04

    Make old captures readable before they go public

    Older screen recordings, clips pulled out of ticket threads and anything captured in a small window tend to be soft and heavily compressed, which is fine in a private reply and not fine at full width in a help center. Run them through AI Video Enhancer, which restores blur, noise and compression damage without changing timing or audio, so narration already synced to the action still lines up. Then check the frames that carry the information, such as menu labels, error text and small interface type, and re-record the step on a test account if any of it stays ambiguous.

    Tool AI Video Enhancer
    AI Video Enhancer
    Restore blur, noise and compression damage in existing footage without changing its timing or audio.
  5. 05

    Reissue the approved answer in the languages your queue arrives in

    Once the support lead has signed off the source video, AI Video Translator produces dubbed, lip-synced editions across 88 languages while the on-screen steps and the timing stay tied to your recording. Dub from a signed-off version only, because a wrong instruction reaching every language at once is far harder to withdraw than a wrong article. A support engineer who works in that language then checks product names, error messages and any interface string that stays in English inside the real product, before the edition is attached to anything customers read.

    Tool AI Video Translator
    AI Video Translator
    Create dubbed, lip-synced language versions from one approved source video.

Frequently asked questions

  • Start from an article your team has already published, plus a recording of the real product made on a test account. AI Video Agent sequences the steps and drafts the narration, AI Voice Generator reads it in a voice you keep across the whole library, and a green screen presenter is composited beside your capture so the control being described stays visible. The engineer who owns the topic then checks the draft against the build currently shipping before it goes anywhere near a customer.

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