The future of learning: towards ultra-personalized and adaptive training

26/5/2025
Ecosystem
Article
4min
Ecosystem
Article
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The future of learning: towards ultra-personalized and adaptive training

From standardized training to customized experience

In a world of rapidly evolving skills, learning needs to become more fluid, relevant and actionable. The key challenge is to target the right people with the right content, at the right time.

L'Oréal and Doctolib illustrate this approach by integrating data at the heart of their learning strategies:

  1. Competency mapping: each employee visualizes his or her strengths and areas for development.
  2. Matching training courses to real needs: no more generic catalogs, just customized courses.
  3. Engaging and interactive experience: collaborative playlists, gamification and immersive content.

OneLearning: the L'Oréal example

L'Oréal has designed OneLearning to link jobs, skills and training offers:

  • Each position is associated with a set of key skills.
  • Each skill is linked to appropriate training courses, with different levels of in-depth training.
  • A top-down/bottom-up mix: 50% of training courses are chosen by employees, 50% imposed by management to align with strategic priorities.

The impact is already measurable: 50% of employees have declared their skills, generating 434,000 inventoried competencies. The next step? To make this offer more reliable and refined by 2025.

Doctolib: adapting the offering to learner profiles

At Doctolib, the challenge is to adapt training courses to different levels of expertise:

  • Regular assessments to accurately measure needs.
  • Targeted training campaigns to close skills gaps.
  • Integration of AI tools to streamline the experience and offer ever more relevant content.

The ambition? Ultra-personalized learning, where each employee receives the resources adapted to his or her needs as soon as a gap is identified.

Towards proactive, immersive learning

The evolution of learning is no longer based solely on technology, but also on a new way of thinking about learning:

  • Using data to adjust training courses in real time.
  • Immersive, engaging experience: microlearning, podcasts, interactive workshops.
  • Adoption facilitated by formats inspired by everyday usage (e.g. TikTok, playlists, conversational AI).

The aim is to create a learning culture in which each employee becomes a key player in his or her own development.

Would you like to delve deeper into these topics and provide food for thought? Discover the FORWARD 2025 replays and retrospective.

From standardized training to customized experience

In a world of rapidly evolving skills, learning needs to become more fluid, relevant and actionable. The key challenge is to target the right people with the right content, at the right time.

L'Oréal and Doctolib illustrate this approach by integrating data at the heart of their learning strategies:

  1. Competency mapping: each employee visualizes his or her strengths and areas for development.
  2. Matching training courses to real needs: no more generic catalogs, just customized courses.
  3. Engaging and interactive experience: collaborative playlists, gamification and immersive content.

OneLearning: the L'Oréal example

L'Oréal has designed OneLearning to link jobs, skills and training offers:

  • Each position is associated with a set of key skills.
  • Each skill is linked to appropriate training courses, with different levels of in-depth training.
  • A top-down/bottom-up mix: 50% of training courses are chosen by employees, 50% imposed by management to align with strategic priorities.

The impact is already measurable: 50% of employees have declared their skills, generating 434,000 inventoried competencies. The next step? To make this offer more reliable and refined by 2025.

Doctolib: adapting the offering to learner profiles

At Doctolib, the challenge is to adapt training courses to different levels of expertise:

  • Regular assessments to accurately measure needs.
  • Targeted training campaigns to close skills gaps.
  • Integration of AI tools to streamline the experience and offer ever more relevant content.

The ambition? Ultra-personalized learning, where each employee receives the resources adapted to his or her needs as soon as a gap is identified.

Towards proactive, immersive learning

The evolution of learning is no longer based solely on technology, but also on a new way of thinking about learning:

  • Using data to adjust training courses in real time.
  • Immersive, engaging experience: microlearning, podcasts, interactive workshops.
  • Adoption facilitated by formats inspired by everyday usage (e.g. TikTok, playlists, conversational AI).

The aim is to create a learning culture in which each employee becomes a key player in his or her own development.

Would you like to delve deeper into these topics and provide food for thought? Discover the FORWARD 2025 replays and retrospective.

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