Would You Read to Your Children to Teach Them to Swim?

By making lifewide skills machine-readable and context-specific, we help employers reduce recruitment risk and unlock the potential of talent through proven “doing,” not just “knowing.” Evidence of practical performance in high-stakes environments is the modern benchmark for workplace readiness.

Key takeaways:

• Context is the Core of Competency: Skills are not universal; they are shaped by the environment in which they are applied. For example, communication in a clinical setting requires a different level of empathy and protocol than communication in retail, making context-specific validation essential for hiring.
• The “Experience Gap” Requires Evidence-Based Hiring: The traditional “hiring for experience” model creates a barrier for new talent. By shifting the focus from academic credentials to machine-readable, validated evidence of “doing” (lifewide skills), employers can reduce recruitment risk and cost.
• Modern Vocational Training Needs a “Reset”: Theoretical knowledge and simulations are insufficient for workplace readiness. To solve real business problems, vocational education must return to workplace demonstration where learners can prove they can perform tasks in real-world, high-stakes environments.

In the pursuit of solving real business problems – not theoretical ones – we must confront a fundamental truth: hiring is expensive, risky, and often inefficient. As someone who has run businesses, I know firsthand the cost of recruitment, onboarding, and the consequences of getting it wrong. It’s no wonder the default is to hire someone who has done the job before in a similar organisation. It feels safer. But it’s also limiting.

Ask any graduate struggling to land their first job. The answer is almost always the same: “They want someone with experience.” And yet, how do we expect people to gain experience if we never give them the opportunity, especially as entry level jobs are being replaced by AI. 

This is where our understanding of skills needs a reset.

Vocational Education: Learning by Doing

Vocational education was never meant to be theoretical. It was designed to be education in the workplace. But as we chase scale – measured by enrolment numbers – we’ve drifted away from workplace demonstration. Simulations and YouTube tutorials have their place, but they’re no substitute for real-world performance.

If you want to be a good swimmer, watching Ariarne Titmus or Ian Thorpe won’t help you in the pool. And even if you learn to swim in a pool, it doesn’t mean you can handle the ocean. Task and context matter.

However, it cannot tell you someone’s cultural fit. In the end the decision if a person is a right for an organisation or indeed if the organisation is a good fit for the individual is a subjective judgement and is what makes the unique characteristics of a workplace.

Generic Skills – Maybe Sometimes…

We talk about transferable skills, but we forget that context shapes competence.

Communication in a health setting is not the same as communication in customer service. A generic script might suffice in a business call, but when someone is critically injured or receiving palliative care, empathy and contextual understanding are non-negotiable.

That’s why we have 172 units of competency for communication – because industries wanted it tied to specific tasks and context. What AI enables us to do if we make those units of competency machine readable (which SkillsAware has), is cancel out the repetition and focus on the differences of the skills in context. Again, we can do that NOW.

From Supply to Demand: A Shift That’s Needed

It’s time to flip the script. Instead of defining skills from the top down, let’s look at them from the demand side – what employers and learners need. Let’s help learners understand and evidence their own skills, no matter how they were acquired: through work, volunteering, caregiving, or life itself.

This is where SkillsAware comes in.

SkillsAware is designed to make lifewide skills visible and validated. It enables learners to hold evidence of what they know and can do, in real-world contexts. And it gives employers – large and small – a practical way to evaluate work-based learning, not just academic achievement.

Let’s Start Now

We don’t need to wait for perfect taxonomies or universal definitions. We can start evaluating skills practically, today. By focusing on real evidence, in real contexts, measured against whatever framework that’s relevant, we can make better hiring decisions, reduce risk, and unlock the potential of people who’ve been overlooked, and indeed maybe lead to more innovation as people with different experience look at problems with a different lens.

Because in the end, it’s about knowing AND doing. And doing it well in the context that matters.

FAQs:

1. Why is context important when evaluating professional skills?

Context is vital because it dictates the nuances of how a skill is applied. While a skill like “communication” is transferable, its execution changes drastically between industries (e.g., healthcare vs. customer service). Evaluating skills within a specific context ensures that a candidate can handle the unique pressures and requirements of a particular role, rather than just possessing theoretical knowledge.

2. How can employers reduce the risk and cost of hiring?

Employers can reduce hiring risk by moving away from subjective “years of experience in the same or similar roles” and toward skills-based hiring which captures the breadth of people’s lifewide experiences. By using platforms like SkillsAware to view validated evidence of what a candidate can do – rather than just where they have worked – employers can make more accurate, data-driven decisions that improve retention and performance.

3. What is the difference between “knowing” and “doing” in vocational education?

“Knowing” refers to theoretical understanding or passing academic tests, whereas “doing” refers to the practical application of skills in a real-world setting. Effective vocational training requires workplace demonstration, as simulations or video tutorials cannot replicate the complexities of performing a task in a live environment.

4. What are “lifewide skills” and how are they validated?

Lifewide skills are competencies acquired through various life experiences beyond formal education, including work, volunteering, caregiving, and daily life. SkillsAware makes these skills visible by allowing learners to hold and present validated evidence of their performance, measured against industry-relevant frameworks and real-world contexts.

5. Can AI help in identifying transferable skills across different industries?

Yes. By making units of competency machine-readable, AI can identify the overlap between different industry standards. This technology allows for the removal of repetitive training by highlighting exactly which skills a person already possesses and identifying the specific “contextual gap” they need to bridge to move into a new industry.