How Orange uses AI video to rapidly upskill their internal teams
Learn how Orange is upskilling their workforce with multilingual AI videos.
Create engaging training videos in 160+ languages.
On this blog, we talk a lot about video and learning. After all, video is ubiquitous in our culture. It is how many of us get our news, build community, and, yes, sometimes learn.
If you are here, you are likely already using video in some form to train your employees. But using video and designing learning through video are not quite the same thing.
What is video learning?
Video learning is a broad term for learning that happens through video.
Video-based learning refers to instructional experiences that use video to help people acquire knowledge or skills.
That can include explainer videos, demonstrations, screen recordings, scenario-based training, and interactive modules.
What matters is the intent behind the video.
In video-based learning, video is designed to explain a concept, demonstrate a task, or support retention over time. That makes it different from a video that happens to teach you something useful in the moment.
People can learn from plenty of videos that were never designed as instruction. But video-based learning asks more of the medium. It is built around a learning goal and structured to help someone understand, remember, and apply what they have seen.
Why does video learning work?
Video learning works well when it helps people process information without overwhelming working memory. One reason it can be so effective is that it combines words and visuals in a way that supports understanding, while giving instructional designers more control over what learners see, hear, and focus on.
Cognitive load is the amount of information our working memory can process at a given time.
You can think of working memory like a sticky note: there is only so much it can hold. When a learning experience asks someone to hold too much at once, learning becomes harder.
There are several types of cognitive load, and each matters for instructional design.
- Intrinsic cognitive load comes from the material itself and how difficult it is to understand.
That can vary by learner, and their previous exposure to a topic. - Germane cognitive load is the mental effort involved in making sense of new material and connecting it to what you already know.
- Extraneous cognitive load comes from irrelevant or unnecessary information that gets in the way of learning.
Extraneous cognitive load is the one instructional designers have the most control over.
We decide what is shown, what is said, and what the learner is asked to do.
That matters because our brains process verbal and visual information through separate channels, each with limited capacity. Effective video learning ensures narration and visuals work together to support understanding.
What makes video learning effective?
Reducing cognitive load starts with a few straightforward design choices.
- Break content into smaller sections.
Shorter segments make it easier to process one idea at a time and return to a specific part when needed. - Show how something is done.
Demonstration gives learners a clearer picture of the task than description alone, especially when the goal is to perform a process, follow a workflow, or use a tool correctly. - Let people progress at their own pace.
The ability to pause, replay, and review is part of what makes video effective for learning. It gives learners more control over how they process new information. - Use a person or avatar with purpose.
Instructor presence can help learners follow the message through tone, pacing, and emphasis. It should support the explanation, not compete with it.
Together, these choices help people focus on the message without getting overwhelmed by the medium.
What is video the right medium for learning?
Video is one option among many learning mediums. It works best when people need to see a process, follow a sequence, or understand what good performance looks like.
How do you create video learning?
The principles behind effective video learning do not depend on AI, but AI does change the workflow. If your team is using an AI video platform like Synthesia, here's the process we recommend.
See how this workflow comes together in minutes, then try it out for yourself.
Step 1: Create
Most learning designers start with something they already have: a slide deck, SOP, policy document, help center article, or expert knowledge that needs to become training. An AI video generator can help turn that starting point into a first draft quickly.
Before you generate the video, clarify:
- the material you are starting from
- the specific concept, task, or workflow being taught
- what successful performance looks like
- where the learner will apply it
Step 2: Direct
Shape the message around the audience and the setting. Learning works better when it reflects the learner’s role, level of experience, and working context.
At this stage, decide:
- who the video is for
- what context they need
- what tone will be clearest
- which presenter, voice, or format best supports understanding
Step 3: Design
Build the video scene by scene. A clear structure helps people follow the message, focus on the most important details, and understand what to do next.
A simple structure often works best:
- open with context
- state the learning objective
- explain or demonstrate the concept clearly
- address common mistakes or points of confusion
- close with a recap and next step
Step 4: Engage
Add moments that reinforce attention and participation. Learning is stronger when people actively process what they are seeing.
A few ways to strengthen engagement:
- show realistic scenarios
- use questions to reinforce decisions
- add short checks for understanding
- use visuals that direct attention to the right detail
Step 5: Localize
Adapt the training for each language, region, role, or audience. Localization helps organizations keep the core message consistent while tailoring the details people need in their own environment.
- language translation
- local terminology
- role-specific examples
- regional policies, tools, or workflows
Step 6: Refine
Review the content for accuracy, clarity, and approval. Depending on the topic, this may include subject matter experts, managers, compliance, operations, or internal communications.
Use this stage to check:
- accuracy of content and terminology
- clarity of explanation
- accessibility and readability
- consistency across scenes
- readiness for rollout
Step 7: Publish
Distribute the training through the right channels. In most organizations, that means choosing the systems where people will actually access and use the content, whether that is an LMS, LXP, intranet, knowledge base, or team workspace.
When publishing, make sure:
- the right people can access it
- the content reaches the correct audience
- expectations are clear
- participation and understanding can be measured
Step 8: Update
Keep the training easy to revise over time. Processes change. Tools change. Policies change. The strongest workflows make updates easier by keeping content tightly scoped and structured in reusable sections.
That is one reason short, focused videos work so well in enterprise settings. They are easier to update without rebuilding an entire course.
How do you measure whether video learning is working?
Creating and assigning a video is only one part of the process. Video learning needs to be measured over time.
What separates useful video learning from more content?
Useful video learning starts with a clear learning goal, but it does not end there.
Teams get more value from video when they use it for the kinds of learning it supports well: showing a process, explaining a concept, modeling what good performance looks like, or reinforcing a message people need to revisit. They get less value when video is used as a substitute for practice, feedback, or live discussion.
Over time, the bigger issue is governance. Good video learning programs answer these questions early:
- Ownership: Who is responsible for the content after it is published?
- Distribution: Where will people actually watch it?
- Access: Who should be able to view it?
- Review: When will the content be checked for accuracy?
- Maintenance: What gets updated, replaced, or retired as tools, policies, and processes change?
These decisions shape whether video learning stays useful or slowly drifts out of date. A video that is clear today can become misleading six months from now if no one is responsible for maintaining it.
The real test is whether the learning still holds up when people need it.
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.
Go to author's profile
faq
Frequently asked questions
What is video learning?
Video learning uses video to help people build knowledge or skills. In workplace learning, it can include explainer videos, demonstrations, software walkthroughs, scenario-based training, and other formats designed to support understanding and application.
Why does video learning work?
Video learning works well when it combines clear explanation with visual demonstration and gives learners control over pace. People can pause, replay, and revisit content, which supports understanding and retention.
When should teams use video learning?
Video learning works best when people need to see a process, follow a sequence, or understand how something looks in practice. It is especially useful for onboarding, procedural training, software adoption, and safety instruction.
How long should training videos be?
Most effective training videos are short and focused, often between 3 and 9 minutes. Shorter segments make it easier to process new information and return to specific topics when needed.
What is video-based learning?
Video-based learning is a more deliberate instructional approach. It uses video as a structured medium for explanation, demonstration, and reinforcement, usually with a clear learning objective and supporting design choices.
What is the difference between learning from video and video-based learning?
People can learn from many kinds of videos, including informal content on social platforms or YouTube. Video-based learning goes further by using video intentionally to teach a concept, show a process, or support skill development over time.
