The Ultimate Testing Framework for Effective Training Videos

It’s been clear for awhile now: video content is undeniably on the rise. Thanks to platforms like TikTok, the marketing and advertising use case for video content is apparent. 

But what’s just now becoming clear is the ways in which videos can be leveraged for better learning outcomes. In 2023, employees found flexibly accessible video training to be the second most engaging way of learning, according to Statista. The only form they found more engaging was simulations. 

Video is making it easier than ever to convey knowledge efficiently. And with new AI video generation tools like Colossyan massively simplifying the production process, what’s great for the student is now even easier for the instructor creating the videos. 

I've tested several different AI video generators on my website, aitoolssme.com, and it turns out Colossyan is one of my favorites.

With just a few clicks, Colossyan’s virtual AI avatars can present what otherwise would have been an expensive and time-intensive recording session at home or in a studio with actors. Plus, the software allows for A/B testing with different instructor personas, languages, or AI-generated voices in just a few clicks.  

In my career as a YouTube marketer, I have worked with big brands like Revolut or HelloFresh, and while creating my video course, I realized that most principles for testing apply to all video formats. 

In this blog, I’ll walk you through my rock-solid testing framework, which I used to scale my campaigns by ruthlessly testing and iterating. This testing framework will give you the tools to optimize your AI-generated training videos and skyrocket their performance. 

Creating More Effective AI Training Videos: A 6-Step Testing Framework

This testing framework will give you the tools to optimize your AI-generated training videos and skyrocket their performance. Let’s take a look:

1. Define your goal for improvement

First of all, think about what you want to improve on. Do you want your training videos to reach a higher completion rate? Or do you want to get better course ratings? Let's take the completion rate as our example for now.

This is your north star and shall help you define what to test in the first place. This can be very simple as long as the result is measurable. 

2. Prioritize by impact

Consider all the factors that could lead to a higher completion rate and determine which is likely to have the most significant impact. Obviously, it would be best if you started your testing series with this. 

For example, changing the AI avatar persona will have a much more significant impact on the completion rate than changing the last module because students might not make it there. 

3. Start with a hypothesis

Now, let's consider what impact you believe the change will have. What's the desired outcome? 

An example: I believe that changing the order of my training and front loading a more fun topic like XXX will lead to a 10% higher completion rate.

This will help you to determine if your test was successful once it's finished. 

4. Only test one variable at a time

To ensure you reach a clear conclusion, always test and change only one variable at a time. For example, if you change the AI avatar's accent and also the course order, you will not be able to tell which factor has impacted the test results. 

So, first, test the avatar's accent and collect enough data before starting the next test. 

5. Your test has to be significant

Imagine you have set up your test correctly by identifying your goal and the factor with the most significant impact; you thought of your hypothesis and only changed one variable. Now, you are unsure if the difference between test groups A and B is big enough to determine whether  you should implement the changes for good. 

When it comes to determining if your test result is significant, you can quickly find out using an A/B calculator. Just enter your test results and see if they have reached significance or if you should prolong the test.

6. Find a secondary metric

If you can't collect enough data or don't want to continue running the test, define a good indicator where you have more data available.

Example: Instead of taking the total completion rate of your course, you could look at how many students have completed the second or third chapter.

Things I would recommend to test for your AI-generated training by order of importance:

• AI avatar persona
• AI voice
• Course Introduction (the beginning sets the tone)
• Order of modules

To enhance sales, you can and should test the following:

• Different course platforms 
• Pricing
• Different languages and markets
• Course title & description 
• Course thumbnail

Alright, this should set you up for success. I hope this action plan will lead you to double and triple your income for AI-generated video training and many course upsells. 

And keep in mind this is just the beginning of the AI revolution; in just one more year, our world shall be turned upside down again, and we'll have even more possibilities for testing. 

Author Bio:

I'm a video marketing expert based in Berlin, and I like to call ChatGPT my new best friend. In my search for AI tools to make life easier, I've seen the good, the bad, and the ugly, so I decided to share my findings on my websites aitoolssme.com. The reviews are non-techie, user-friendly, and especially helpful for small business owners.