Best practices
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14.01.2026

How can artificial intelligence save your onboarding?

Summary
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We will not surprise absolutely anyone in the world of learning by saying that properly training an employee who joins your company is important. And yet, the typical onboarding journey generally consists of a suite of passive content, which is zero degrees of educational effectiveness. The fact is that onboarding courses have a big problem: they take a long time to design and they expire very quickly. Given the constant effort to update, we are forced to downgrade the quality. Well... that was before our educational artificial intelligence. In this article, we show you how we use it to transform our Onboarding in an efficient journey.

The sad banality of failed onboardings

Kayla is joining your company and she has a lot to learn: your working methods, your values, your tools, who's who, where the coffee machine is... all in a short time to quickly become operational. To facilitate her welcome, your training teams have collected all the information she will need for her arrival to go smoothly.

They mobilized colleagues from the various teams, collected the information, which they then sorted according to its importance. Anyone who has already taken part in the exercise knows that it is long and tedious, and that it leaves little room for educational improvement : add immersive exercises, integrate personalized feedback and other best practices that facilitate ownership. Especially since every year, they realize thatsome of the information is out of date, the others have changed... and that it is therefore necessary to make an effort to constantly update.

As a result, Kayla's onboarding looks like this: a link to a space for videos, e-learning modules, documents, more or less well organized. It is up to her to pin down her learning over time, to assess where she is, to determine at what level of depth she must master each element. Since the resources are passive, she will also have to find opportunities herself to apply what she learns. It's a big job especially since she completely discovers your universe: what you think is a reasonable amount of information (because you know it well) will put her in complete cognitive overload. In the end, Kayla won't remember much from what she saw.

Luckily for her, a caring colleague will come to her rescue -” wait, I'll show you how to set up this software, otherwise you'll spend hours reading the doc.” But it's a shame to reserve exchanges between colleagues for the simple transmission of information, when we could turn them into moments of construction, of feedback...

Educational artificial intelligence to the rescue of your onboarding!

We reassure you, we were in the same situation as you, which is a bit overwhelming for an e-learning company obsessed with Educational effectiveness. After carefully writing all the content that seemed essential to us and collecting it on our Notion space, we stopped there. As a startup that is constantly evolving, it was the best effort/impact compromise we could have. What is the point in creating top-notch modules if they expire in 3 months?

“Happy reading!” : we can undeniably do better in terms of educational effectiveness.

But... everything has changed since we developed our educational artificial intelligence. We took the text from each document, and passed it to our educational artificial intelligence. She has detected underlying cognitive issues in the document in question, and a automatically generated content in a format that best targeted these various issues.

An example: in the document on our values, we talk at length about transparency, how important it is that information is available to everyone. However, it is not easy in some cases to know how far to push this principle: if I have feedback to give to a colleague, do I do it in front of everyone? Our educational artificial intelligence automatically detected that one of the challenges was to manage to apply this transparency concretely in a situation and generated an exercise that targets it.

Automatic granule generation with educational AI

We have thus generated 5-6 interactive modules, at the forefront of research recommendations in terms of educational effectiveness.

In the end, knowing that artificial intelligence was going to take care of the automatic transformation of content gave us Time to ask ourselves the right questions : What is the most important information that colleagues need to know? How fast should this information be learned? What additional soul could we add to our modules to make them more human and user-friendly? In short, all these questions that further boost the effectiveness of training. And If you need to do an update, no problem : all you have to do is regenerate from the new document all or part of the module that must evolve.

Didask is about to gain weight, so we will have time to test our Onboarding with our new recruits. We think we are not taking too many risks by saying that it no longer has anything to do with our former training! To go further, you can also consult our dedicated white paper”Onboarding: How to transform your content into impacting devices with educational AI?“. As we grow we will also need a Digital workplace so that everyone follows the right training courses and can communicate more easily internally in order to improve our onboarding.

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About the author
Svetlana Meyer
Svetlana Meyer is Didask's scientific manager. A doctor in cognitive sciences, her role is to integrate the latest results of research on learning into our product to improve the effectiveness of the content created on Didask.
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ENGIE achieved an overall score of 16.72/20 in the Customer Service of the Year ranking, with scores ranging from 15.21 for chat to 17.61 for social media, confirming the excellence of their customer relations.
In brief
Traditional LMS platforms have7 structural limitationsthat hinder the effectiveness of your training programs:
A 30-minute tour of Didask in action
A 30-minute tour of Didask in action
A 30-minute tour of Didask in action
Traditional LMS platforms have7 structural limitationsthat hinder the effectiveness of your training programs:
Icône d'une étoile vide centrée dans un cercle blanc.
This is some text inside of a div block.
ENGIE achieved an overall score of 16.72/20 in the Customer Service of the Year ranking, with scores ranging from 15.21 for chat to 17.61 for social media, confirming the excellence of their customer relations.
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Note
Generic soft skills training (management, time management, leadership) is most affected. Without grounding in concrete job-specific situations, it generates little measurable impact and a high risk of disengagement.
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Give us 30 minutes, your courses will never be the same again.
Discover the all-in-one Didask platform during a personalized and free demonstration, led by an expert.
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Give us 30min, your courses will never be the same again
book a demo
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