Make 70 20 10 training model skill oriented

Employ an Enhanced 70 20 10 Learning Model for Learning and Development

Over the past few decades, the 70 20 10 learning model has gained significant attention from CLOs and L&D professionals. This model has been regarded as highly valuable for companies striving to optimize the impact of their learning and development initiatives.

The 70 20 10 learning model is undoubtedly effective, but it requires a fresh approach when it comes to upskilling your emplyees. Ironically, many individuals still struggle to seamlessly integrate this model into their L&D strategy, as traditional implementation approaches fall short of delivering expected results. Making a shift towards skill-based training can provide a positive direction for harnessing the full potential of the 70 20 10 learning model.

Before we get to the new approach, let’s dive deep into the basics first. 

What is the 70 20 10 learning model?

pyramid of the 70 20 10 learning model

The 70 20 10  learning model proposes that individuals learn most effectively when exposed to a variety of combined learning experiences. The framework of this model is broken down to:

  • 70% of learning happens through on-the-job experience. 
  • 20% of learning happens through social interactions
  • 10% of learning happens through formal learning 

While historically, this model has been extremely effective, digital acceleration and the ever-changing market space demand a skill-based approach to tackle business challenges. For this reason, the traditional model requires modernization and a greater emphasis on skill development to upskill and reskill your employees in the digital-first era.

The importance of enhancing the 70 20 10 learning model with upskilling

The 70 20 10 learning model is popular due to its effectiveness in improving learning and development. Despite this, it has received criticisms, particularly around its lack of structure. The 70% ratio assigned to on-the-job experience has been a point of concern for many.

However, it’s important to remember that the 70 20 10 model is only a guideline and can be customized to meet an organization’s specific learning and development needs. With structured upskilling strategies, employees can direct their L&D efoorts in a positive direction. By identifying and developing necessary skills, employees can expand their capabilities and drive their performance.

How to enhance the 70 20 10 learning model 

The 70 20 10 learning model emphasizes that various types of learning – experiential, social, and formal – are crucial for the success of your L&D initiative. As a flexible framework, the model can be readily integrated with skill-based training to align with your organization’s specific learning and development requirements.

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Here is how skilling can be blended with the 70:20:10 model to drive impact. 

Connect roles with essential skills

Modern companies are charting toward digital maturity; employees are propelled to take up new responsibilities amidst digital acceleration. Employees need more clarity on their roles and the capabilities they have to build to shape their career paths. Linking roles with skills can help provide a clearer picture to employees. For instance, if skills are defined for a digital marketing executive, assistant manager, and manager. The employee will know which skills s/he need to develop to do their job efficiently or move to the next role. 

A skilling suite, like Disprz, helps in identifying and benchmarking skills for different roles in a company. It even enables managers and employees to measure the proficiency level for each skill. For instance, on a scale of 1 to 10, the manager rates an employee 4 for a particular skill, and in self-assessment, the employee also rates himself 4, so his skill score will be 4. 

Based on the skill score, the employee gets a clear understanding of how much effort he has to put in to build the skills for moving to the next role. So accordingly, he can coordinate with employees who are experts in a particular skill. He can self-enroll in various courses and practice what he has learned to get better at a particular skill. Here the employee is still doing experimental learning, but it is a more streamlined way. 

Upskill through peer-generated content and employee engagement 

Once the skills are defined for a specific role, employees can collaborate and learn together. For instance, there are three sales executives in a team, and the skills are benchmarked for the sales executive role. Through a skill assessment, they find out that all three are good at different skills; for instance, one is good at cold calling, the other is good at setting appointments, and the third is good at giving sales presentations. So all three can share the techniques that worked really well with each other.

The company can empower them by giving them the right learning tool with a social platform where they can collaborate with peers, share valuable resources and brainstorm together. Social learning aligned with a skill-driven approach can help boost engagement and results. 

Define a personalized learning pathway

The 10% of learning that is dedicated to formal training can also be skill-focused to derive better results. With the help of an LXP, the L&D can assess skills and create a personalized skilling journey for developing different skills.

Most of the LXP solutions are powered with AI that recommends relevant courses based on the learner’s skills and interests. This helps take personalization to the next level for developing necessary skills in real-time. 

Leverage Employee Upskilling Technology

The 70 20 10 learning model can be very effective today if given a skilling edge. Using the right skilling platform, L&D can identify, assess and build skills at scale. Disprz is one such skilling solution that can help blend the 70 20 10 model with skill-based training.

Disprz LXP gives employees the flexibility to explore skills that interest them, all while driving learning initiatives that seamlessly blend with the business goals. This powerful AI-based platform provides personalized and intelligent learning recommendations based on the job role, interest, skills, and the employees’ learning preferences. 

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