Skip to main content

What is HUDLE™?

Learn about our skills development framework that catapulted us as leaders in the learning skills space.

Updated over a week ago

What is HUDLE?

HUDLE™ stands for Holistic Upskilling for Deep processing and Learning Efficiency. It’s our evidence-based framework designed to empower learners with practical tools and perspectives to maximise their learning potential and apply skills effectively in real-world scenarios.

Rather than pulling isolated ideas from individual studies, HUDLE is built on an integrated synthesis of:

  • Cognitive science

  • Educational psychology

  • Skill acquisition theory

  • Systems thinking and productivity research

This avoids the common problem of contradictory advice or surface-level hacks.


Why this framework is necessary

Many learners invest time and effort into studying but struggle to achieve desired results. This challenge is often due to a lack of understanding of effective learning processes, which can lead to frustration and burnout.

Unfortunately, there are currently no evidence-based frameworks for teaching and developing these skills while considering the complex nature of real-world learning.


The unique advantages of the HUDLE™ Framework

HUDLE™ addresses these challenges through four key principles. These principles underpin every workshop, course, and training program we design.

When you engage with iCanStudy, you can expect these principles to guide our methodology at every step.

✅ Holistic

Most learning frameworks focus narrowly on cognitive strategies (e.g. retrieval practice, spaced repetition). HUDLE™ integrates those within a broader system that includes:

  • Self-regulation and metacognition

  • Emotional and identity-level barriers

  • Focus, time, and energy management

  • Task structuring and environmental design

It recognises that learning happens in context, not just in the brain.

Upskilling

Learning is a skill, not just a collection of strategies.

Traditional models often teach what to do (like mindmaps or highlighting), but not how to train the skills that make those strategies effective. HUDLE™ treats learning as a trainable skill, much like strength training:

  • It uses a deliberate practice model

  • It focuses on building deep processing ability (not just applying techniques)

  • It includes performance feedback loops and adaptation

Furthermore, while many programs stay academic, HUDLE™ is designed to be:

  • Cross-domain: works in medicine, business, law, engineering, etc.

  • Practical: it’s used by working professionals, not just students

Deep processing

While most systems tell you what to do, HUDLE™ trains how to think.

Most frameworks mention “understanding” but don’t train the mechanisms of deep processing. HUDLE™ makes this a central, trainable skill:

  • Explicit training in abstraction, generalisation, and integration of ideas, not just rote techniques like summarising.

  • Methods for building mental representations and semantic networks, leading to stronger recall, flexible application, and long-term retention.

  • Clear instruction on how to process deeply, using diagnostic tools and cognitive walkthroughs to identify shallow vs. deep patterns of thinking.

Learning efficiency

Learning research rarely considers time efficiency as a key variable in determining the effectiveness of a technique in the real world. As a result, many "effective" strategies taught in mainstream media are not viable or sustainable in the long term under busy time pressures.

HUDLE™ treats efficiency not just as “faster study”, but as optimal performance per unit of time and effort. This involves:

  • Removing inefficiencies: busywork, passive repetition, over-reliance on notes.

  • Teaching learners to identify leverage points—what’s worth learning, when, and how much is “enough”.

  • Teaching frameworks for adaptive effort regulation (when to push, when to rest), making it sustainable in the long term.

  • Combining time management, task management, and cognitive economy (which is rarely unified in other models).


The impact

HUDLE™ is rare because it bridges a critical gap in learning science: it doesn’t just teach what works, it trains how to build those capabilities.

HUDLE™ develops learning as a multi-layered skill that helps learners shift from consuming knowledge to transforming how they think. The result is a permanent upgrade in how people learn, solve problems, and perform under pressure.

Did this answer your question?