Create engaging training videos in 160+ languages.
Anyone can make a training video in minutes.
That's pretty bold statement. But it's true. I, someone with absolutely zero artistic capability, can sit on my couch and make a video in the same time it takes to make a morning cup of coffee. And I'm not alone.
Last year, we surveyed hundreds of L&D practitioners, and over half of them are using AI to make training videos.
But are these videos any good? Are they teaching someone to follow a process? Are they enabling skills?
Because it is so easy to make content, I'm convinced we need to spend that freed-up capacity honing in on the quality of the product. That means building videos with learning design best practices, and figuring out how to invest more time in measurement.
What makes training videos effective?
Effective training videos are short and role-specific. (There's nothing worse than being assigned an hour-long training video where only 3 minutes apply to you.) They inform, demonstrate, and enable learners to apply their knowledge.
That starts with the learning design, and a bit of L&D mad libs.
Complete these sentences:
This video is for [specific role] who currently [context or gap].
After watching this video, [specific role] should be able to [observable action] so that [business outcome].
For example: this video is for new customer support agents handling refund requests. After watching, they should be able to process a refund in the system without escalation, so that resolution time decreases and customer satisfaction improves.
That clarity is your benchmark for success. It defines what good looks like and how it will be measured.
These guidelines also help you collect evidence for your design, like documentation of the correct process, along with data on current performance. This specificity will transform your partnership with AI video creation tools.
How to create a training video in minutes
Earlier, I said you can make a training video in minutes. Now, I’m going to take that a step further and say you can create an effective one, provided you have the right inputs.
With our AI assistant, you're not locked into a step-by-step workflow. You're guiding the assistant through a conversation to shape the output (just don’t spend too much time picking out your avatar’s outfit).
That might look like uploading the Zoom transcript from a live training and working with the Assistant to pare it down into a 5-minute video. From there, you move between different parts of the design process, depending on what the video needs.
For example, that might look like:
- Starting with a draft, then adjusting the avatar, voice, and tone to better match your audience
- Reviewing a scene, then reshaping the structure or visuals to make it clearer
- Adding a step, then introducing a prompt or checkpoint to encourage application
Then, when you’re ready, you can localize and publish the video, making sure employees can access the training in their working language, wherever they go to learn.
With version control, you can always come back and refine as things change.
▶️ Curious what this process looks like end-to-end? Here’s a brief overview.
What are the benefits of AI training videos?
According to our research, L&D teams still see the biggest impact from AI in faster content production, followed by improvements in learner experience.
But that’s only the starting point.
- Speed removes the bottleneck
Teams can create and update training as work changes, instead of relying on infrequent, large updates. - Better learning comes from better design
Clear structure and focused content make videos easier to follow and revisit at the moment of need. - Consistency replaces message drift
The same standard is delivered across teams, regions, and time zones, with updates staying aligned through version control. - Training reaches more people, more often
Video makes training accessible on demand, without relying on facilitator schedules. - Localization becomes a multiplier
Training can scale across languages while maintaining consistency in meaning. - The shift is toward business impact
Teams increasingly expect training to drive measurable outcomes.
When is video the right medium?
Video isn’t the only training format you need, but it often sets the foundation. It works best for onboarding that needs consistency across managers and cohorts, procedural training where people need to follow steps, and enablement updates where teams need a clear “what changed and what to do now” message.
More broadly, video is best suited for repeatable guidance (the kind of instruction people need to come back to while they’re doing the work).
When the topic requires coached practice, discussion, or live feedback, video works best as baseline instruction, with live time reserved for practice and edge cases.
Here’s a structured way to think about when to use video versus other formats:
When done well, video training gives everyone the same foudnation.
What are the best platforms for making training videos?
The "best” training video platform is the one that fits your workflow and works well with your tech stack (I bet you thought I was going to say Synthesia).
But most tools today can help you create a video. That’s no longer the hard part.
The real challenge is maintaining and scaling those videos over time, updating them as processes change, localizing them across regions, and making sure everyone is working from the same version.
So when you’re evaluating platforms, you’re really choosing how your training system will operate.
Here are a few vendors to consider:
Synthesia
- Best for: Scalable corporate training, onboarding, enablement, and global programs that need frequent updates and localization.
- Why teams choose it: Script-first creation, reusable templates, and controlled updates across teams.
- Watch-outs: Not built for timeline-heavy editing or cinematic production workflows.
Camtasia
- Best for: Screencasts, tool walkthroughs, and training that relies on showing on-screen actions.
- Why teams choose it: Strong screen capture and editing in one place, with features that support instructional clarity (callouts, cursor effects).
- Watch-outs: Harder to scale across languages or versions without additional process discipline.
Vyond
- Best for: Concept explanations, policy communication, and scenario-based training.
- Why teams choose it: Template-driven production and animated storytelling without needing animation expertise.
- Watch-outs: Less effective for precise tool demonstrations unless paired with screen capture.
Descript
- Best for: Webinar edits, talking-head videos, and voice-heavy training content.
- Why teams choose it: Faster editing workflow for spoken content and simple iteration without timeline-heavy editing.
- Watch-outs: Not a full replacement for advanced motion design or complex video production.
Loom
- Best for: Quick walkthroughs, internal updates, and lightweight training clips.
- Why teams choose it: Speed and simplicity — record and share instantly.
- Watch-outs: Not designed for structured, governed training programs at scale.
How do you scale training videos?
One of the main challenges for enterprise L&D teams is scaling content across roles and regions. That’s why I recommend treating training videos like a product you’re shipping. Start with an MVP and get it in front of learners early. Then share it internally wherever learning happens: your LMS, intranet, or even a shared workspace. The closer to the work, the better.
For example, think about a product team shipping updates every two weeks. Each release changes workflows: new features, updated steps, small UI changes that break existing training. In a traditional setup, that means either retraining teams live or letting documentation drift out of date.
With video, you can treat each update as a small iteration. Update the specific step, republish the video, and keep the rest intact. Over time, you build a library of short, role-specific videos that stay aligned with how the product actually works.
Make sure this is all documented. You need to know where you’re publishing, how you’re measuring impact, and how you’ll maintain version control as things change. Our team calls this the surface, security, and stability plan.
- Surface: Where does this live, and how do people find it?
- Security: Who has access, and what happens when it’s shared?
- Stability: How do you update content without creating confusion or outdated versions?
Once you have a plan, it’s time to put it into place.
🚨 Buzzword alert. Here, a Minimum Viable Product (MVP) is a first version of a training video that’s good enough to test with a pilot group. It lets you see what’s working, what isn’t, and improve it based on real behavior.
How do you measure training videos effectiveness?
Several weeks after sharing your video, look for patterns in the data. Start with the basics, like completion and drop-off rates. Even if they aren’t the best signal, you may still need to report on them (so it’s worth understanding what they show).
Then go deeper. Look at performance data or proxy metrics to assess whether behavior is actually changing.
If something isn’t landing, go back to the video. This is where learning design matters, making sure the structure, visuals, and next steps support the outcome you defined upfront.
Everything I’ve covered from defining outcomes to measuring impact shows up in how the video is designed. This is exactly why we created the FOCA framework, to help you turn a defined outcome into a video that drives a desired behavior.
If a video isn’t working, it’s usually because one of these elements is missing or unclear.
Getting started with AI video
AI makes it possible to generate training video in minutes. (Try it for yourself with our AI video generator.) But the quality and effectiveness of those videos still come down to the learning design.
You’ve heard the saying “garbage in, garbage out.” AI isn’t a miracle worker. It needs direction. If you start with a clear audience, a defined outcome, and the right inputs, you can create videos that scale with your organization.
Whether that means localizing across dozens of languages or distributing to thousands of employees, the goal is the same: consistent, effective training that evolves as the work changes.
AI scales video production. Design scales performance.
About the author
Learning and Development Evangelist
Amy Vidor
Amy Vidor, PhD is a Learning & Development Evangelist at Synthesia, where she researches emerging learning trends and helps organizations apply AI to learning at scale. With 15 years of experience across the public and private sectors, she has advised high-growth technology companies, government agencies, and higher education institutions on modernizing how people build skills and capability. Her work focuses on translating complex expertise into practical, scalable learning and examining how AI is reshaping development, performance, and the future of work.
Frequently asked questions
What is a training video?
A training video is a short, role-specific video that teaches someone how to complete a task, follow a process, or meet a standard at work. Teams use training videos for onboarding, compliance, SOPs, product training, and ongoing enablement because they keep guidance consistent across locations, time zones, and managers.
How long should a training video be?
A training video should be long enough to achieve one clear objective and no longer. For most workplace topics, 2 to 6 minutes is a strong target, and software walkthroughs often work best as 30 to 90 seconds per step. If the topic is larger, split it into a short series and use clear titles or chapters so learners can find the exact moment they need.
What should be included in a training video?
A strong training video includes the objective upfront, the minimum context someone needs to succeed, and a clear demonstration of the steps in the order they should be performed. It should also show what “good” looks like, call out common mistakes, and end with a recap plus the next action, such as where to find the SOP, who to ask, or what to do in the system. Captions and readable on-screen text help with accessibility, mobile viewing, and global teams.
How do you create a training video in minutes?
You can create a first draft in minutes by starting from a template or converting existing materials like slides, docs, and SOPs into a script-based video. Once the draft exists, the fastest path to quality is a tight edit pass that clarifies the goal, trims filler, and adds only the visuals learners need to perform the task. For enterprise teams, build in a quick review step so updates remain accurate and consistent across versions.
What are the best training video formats for employees?
The best format depends on the job to be done. Screencasts work well for tools and workflows, presenter-led explainers are useful for concepts and policy, and SOP videos are ideal for repeatable processes that must be performed the same way every time. Scenario-based videos help when judgment matters, such as customer conversations or safety decisions, and interactive videos are effective when you need practice or checks tied to completion.
How do you measure whether training videos are working?
Training videos are working when they improve a specific outcome, not just when people press play. Start by defining one measure of success per video, then track a mix of learning signals and performance signals, such as completion and rewatch rates, quiz results, time to proficiency, error rates, support tickets, or manager-reported readiness. The most useful measurement is the one that connects viewing to fewer mistakes, faster ramp time, or more consistent execution.
