Rule #15. One Size Doesn’t Fit All.
- Olia Stasiuk
- Nov 15, 2024
- 3 min read

Finally AI unlocks unseen customized learning possibilities!
Why are we still trying to fit everyone into the same path when it comes to training? For years, we’ve pushed everyone through the same cookie-cutter programs, regardless of their role, experience, or learning style. It’s time to challenge that outdated approach. The reality is, one size doesn’t fit all—and it never did.
In the past, we had no other choice though. Training took forever to create, and budgets were limited. We were forced to make do with generic programs because creating tailored content for each role simply wasn’t feasible. But now, AI has finally unlocked the ability to tailor all content to a particular role, making personalized learning paths a reality for any size of organization.
Why should a marketer and a software developer go through the same training?
They shouldn’t. Their roles, skill sets, and objectives are entirely different. Even something as universal as time management would look different for each role. A marketer might need training focused on balancing multiple campaigns, client meetings, and creative brainstorming sessions, while a software developer might need strategies for managing deep work sessions, debugging tasks, and sprints collaboration with other developers. Forcing them into the same training program not only dilutes the value of the learning experience but also hampers their ability to excel in their respective fields.
With AI-driven learning platforms like our Bonzai AI, we can now create personalized learning paths that cater to the unique needs of each role. One of my favorite fields is “target learner audience”. For example, a marketing professional can be guided through a series of modules that focus on advanced social media strategies, data analytics for marketing, and customer engagement techniques. Meanwhile, a software developer can embark on a completely different path that includes courses on machine learning algorithms, cloud computing, and agile development practices.
These customized learning paths not only ensure that employees are gaining the skills most relevant to their roles but also provide them with a clear direction for their professional growth. Instead of sifting through irrelevant content, they can focus on what truly matters, leading to faster, more effective learning outcomes.
Another example of where customized learning paths are crucial involves communication skills training.
Consider the different communication needs of a sales professional versus a data analyst. A sales professional needs to master persuasive communication, negotiation tactics, and relationship-building with clients. Their training would focus on how to articulate value propositions, handle objections, and close deals effectively. On the other hand, a data analyst's communication training might focus on presenting complex data in a clear and concise manner, creating impactful reports, and effectively collaborating with technical and non-technical teams.
If both were put through the same generic communication skills training, neither would get the specific skills they need to excel in their roles. The sales professional might find the training too basic, while the data analyst might struggle with scenarios that don’t apply to their daily work. Customized learning paths ensure that each person receives training that is directly relevant to their role, enhancing their ability to perform and contribute effectively.
Imagine starting a new role and being presented with a personalized learning journey that aligns perfectly with your career goals. You know exactly what you need to learn, why it’s important, and how it will help you succeed in your role. This clarity and focus are what make customized learning paths so powerful. Another dream of mine that finally becomes a reality.
Now, every employee can receive the training they need, tailored to their specific role and aspirations. And that’s not just good for them—it’s good for the entire organization. When employees are empowered with the right skills and knowledge, they’re more engaged, more productive, and more likely to drive the company forward. They also feel you care, so they feel that they belong.
One size doesn’t fit all.
With AI unlocking new possibilities, we can finally say goodbye to those days.
Hooray!
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