Principle First:
Expertise /ek · spər · tēz/ noun.
The skill or knowledge an individual acquires through extensive experience and practice, often recognized and validated by others within the field.
Most of us feel like we want to be an expert. We are frustrated when we make mistakes. But mistakes are the path to expertise.This article explains how expertise is built.
Expertise takes time.
I hope knowing the phases of skills acquisition helps you be patient with yourself and with your staff. And I hope you apply the methods for accelerating skills acquisition I describe.
I recommend reading with a pencil in your hand.
🧠Today’s Framework: Dreyfus Model of Skill Acquisition
📚Today’s Story: Illustrating Expertise through Chess
Today’s Quote:
“An expert is a person who has made all the mistakes that can be made in a very narrow field.” — Niels Bohr
🧠The Dreyfus Model of Skill Acquisition
Developed by brothers Stuart and Hubert Dreyfus, this model outlines five distinct stages through which individuals progress as they acquire skills and expertise.
1. Novice
Characteristics: Beginners who follow strict rules and guidelines without context.
Example: A novice cook will find early success by following a recipe exactly. But they do not understand why the techniques prescribed are effective, and can only do what is on the page.
They cannot improvise. They cannot troubleshoot.
2. Advanced Beginner
Characteristics: Begins to recognize patterns and context, but still relies heavily on rules.
Example: An advanced beginner cook can start to identify common cooking techniques – like using butter to keep a pancake from sticking to the pan. They can use this knowledge to begin to troubleshoot – “if the pancake sticks, perhaps I need to spread the butter around.”
They still rely on recipes for guidance.
3. Competent
Characteristics: Able to plan and manage tasks, showing more situational awareness.
Example: A competent cook can plan and execute a meal. They can adapt a recipe to available ingredients. They start to develop their own cooking style.
4. Proficient
Characteristics: Sees the big picture, uses intuition, and has a deeper understanding of context.
Example: A proficient cook knows how to balance flavors and textures. They can create dishes without recipes. They can adapt to unexpected challenges within the kitchen.
5. Expert
Characteristics: Operates from a deep, tacit understanding, often effortlessly. Experts have difficulty describing how they do what they do. They simple do.
Example: A master chef who advances the field, creating innovative dishes with ease. They have a profound understanding of culinary principles. They can mentor others in advanced cooking techniques.
Chance are, you are an expert at walking. Can you explain how you walk?
Today’s story talks about how expertise is developed.
📚The Story: The journey from Novice to Expert
The journey from novice to expert involves several key elements: memory and pattern recognition, the interplay between cognitive systems, and the structured framework necessary for expertise development.
System 1 and System 2 Thinking
Nobel-prize winning psychologist Daniel Kahneman wrote a book called Thinking Fast and Slow. In it, he shows us the human brain operates using two systems:
- System 1: Fast, automatic, and often subconscious.
- System 2: Slow, deliberate, and conscious.
Expertise is achieved by transitioning tasks from System 2 (Thinking slow) to System 1 (Thinking fast).
We make complex tasks automatic and intuitive through repeated practice.
Criteria for Developing Expertise
1. Valid Environment
A valid environment provides consistent rules and outcomes that are stable over time. This stability is essential for recognizing patterns and honing skills.
Some environments are low validity, some are high validity.
Basketball is an inherently high validity environment. The dimensions of the court, the height of the basket, the rules for scoring are all standardized.
In this environment, players can connect their practice and techniques to performance outcomes.
2. Many Repetitions
Repetition is the cornerstone of learning. Repeated exposure to the same type of problems or situations helps solidify the connections in the brain.
A basketball player can practice hundreds of free throws. This repetition helps engrain the muscle memory and technique needed to perform consistently during games.
Developing this muscle memory allows the player to shift from System 2 (thinking slow) to System 1 (thinking fast).
How can your environment allow for many repetitions?
3. Timely Feedback
Immediate feedback is crucial for correcting mistakes and reinforcing correct actions. Without timely feedback, it’s challenging to improve or even understand what needs improvement.
In basketball, the shot either goes in or out. This feedback is immediate.
4. Deliberate Practice
Deliberate practice involves working at the edge of one’s current abilities, focusing on areas of weakness, and continuously striving for improvement. It requires concentration, effort, and the willingness to face challenges head-on.
As I described with the example of the trees that failed in Biosphere 2 because they had never experienced the stresses of the natural environment, we grow only when we are at the edges of our capability.
Challenges In and Solutions For Low Validity Environments
Most of the fields we work in have inherently low-validity.
We operate in a VUCA world – Volatile, Uncertain, Complex, Ambiguous.
In these fields, developing expertise is more challenging due to low-validity environments.
Natural feedback in these fields can be random and not truly reflective of one’s skill or decision-making process, making it harder to recognize and replicate successful patterns.
But leadership practices increase validity by creating alignment on a “why”, and clearly delegating the “what’s” – action items and projects.
Management practices increases deliberate practice by providing an environment where feedback is skilled and fast; and where coaching conversations help unlock people’s potential and maximize performance.
Here are some examples to improve the learning environment in various fields:
1. Software Development
Increasing Repetitions:
- Coding Challenges: Engage in regular coding challenges and hackathons to practice problem-solving and algorithmic thinking.
- Pair Programming: Work in pairs to increase exposure to different coding styles and solutions.
- Regular Code Reviews: Conduct frequent code reviews to practice writing clean, efficient code and learn from others.
- Personal Projects: Encourage developers to work on personal or open-source projects to practice new technologies and techniques.
- Test-Driven Development (TDD): Implement TDD to write and run tests repeatedly, ensuring code quality and functionality.
Increasing Feedback:
- Automated Testing: Use continuous integration and automated testing tools to get instant feedback on code quality and functionality.
- Code Review Tools: Utilize code review platforms (e.g., GitHub, Bitbucket) to facilitate peer feedback on code.
- Agile Methodologies: Adopt agile practices with regular sprints, retrospectives, and stand-ups to provide continuous feedback.
- Mentorship Programs: Pair junior developers with experienced mentors who can provide ongoing feedback and guidance.
2. Writing
Increasing Repetitions:
- Daily Writing Prompts: Encourage writers to engage in daily writing exercises or prompts to practice different styles and genres.
- Writing Sprints: Participate in timed writing sprints to boost productivity and practice focused writing.
- Regular Blogging: Maintain a personal blog or contribute to guest blogs to practice writing regularly.
- Writing Groups: Join or form writing groups where members can practice writing and share their work frequently.
- Copywork: Practice copywork by transcribing well-written passages to internalize good writing techniques.
Increasing Feedback:
- Online Platforms: Use online writing platforms (e.g., LinkedIn, Medium, Quora, Reddit, Twitter) where readers can comment and provide feedback.
- Peer Reviews: Set up peer review systems where writers provide constructive feedback on each other’s work.
- Writing Workshops: Attend writing workshops or classes that offer professional critique and feedback.
- Editing Tools: Utilize editing tools like Grammarly or Hemingway to receive instant feedback on grammar, style, and readability.
- Publication: Submit work to magazines, journals, or contests where editors provide feedback, even if not accepted.
3. Marketing
Increasing Repetitions:
- A/B Testing: Conduct frequent A/B tests on marketing campaigns to practice designing and analyzing different strategies.
- Content Creation: Regularly produce different types of content (blogs, videos, social media posts) to refine messaging and engagement techniques.
- Campaign Simulations: Use simulation tools to practice creating and managing marketing campaigns in a risk-free environment.
- Market Research: Engage in regular market research to practice data collection and analysis skills.
- Customer Personas: Develop and update customer personas frequently to practice understanding and targeting different audience segments.
Increasing Feedback:
- Analytics Tools: Use analytics platforms (e.g., Google Analytics, HubSpot) to receive immediate feedback on campaign performance and user engagement.
- Surveys and Polls: Conduct surveys and polls to gather direct feedback from the target audience.
- Focus Groups: Organize focus groups to receive qualitative feedback on marketing materials and strategies.
- Social Media Listening: Monitor social media channels for feedback on brand perception and campaign effectiveness.
- Mentorship and Coaching: Seek feedback from experienced marketers through mentorship or coaching programs.
💡Here’s a tip:
Copy and paste this article into ChatGPT. Explain your field and your challenges. Ask ChatGPT for examples to increase validity in your environment.
📚A Story of a Chess Master
Imagine a young chess enthusiast named Alex. At age 10, Alex could barely remember where the pieces were supposed to be placed on the board. But Alex had a passion for the game and was determined to become a chess master.
Alex’s journey began with understanding the basics of the game, moving from learning the names of the pieces to mastering how each piece moves. This phase involved a lot of System 2 thinking — slow, deliberate, and effortful. Every move required significant thought and consideration.
As Alex progressed, the focus shifted to recognizing patterns. Alex would spend hours analyzing famous games, understanding strategies, and memorizing openings. This practice was crucial in transitioning many tasks to System 1 — fast and automatic.
However, it wasn’t just about playing countless games. Alex engaged in deliberate practice. This meant studying difficult positions, solving chess puzzles, and playing against stronger opponents. Every game played provided immediate feedback. Winning validated the strategies, while losing highlighted areas needing improvement.
Over the years, Alex’s memory and pattern recognition improved dramatically. Alex could look at a chessboard and instantly recognize the setup of pieces, possible threats, and opportunities — a skill that took years of practice to develop.
Despite the progress, Alex faced challenges in low validity environments, such as online chess, where opponents often used unpredictable strategies. Yet, by focusing on the structured practice and utilizing tools that provided immediate feedback, Alex continued to improve.
Today, Alex is not just a good chess player but an expert, capable of teaching others the nuances of the game. This expertise didn’t come overnight; it was the result of structured practice, deliberate efforts, and a deep understanding of the game’s patterns and strategies.
Conclusion
The journey to expertise is one of dedication, structured practice, and continual learning. Whether it’s chess, radiology, or any other field, the principles remain the same. By understanding and applying these principles, anyone can aspire to reach the pinnacle of their chosen domain.
And leaders need to create the environment that results in organizational learning. Creating Alignment increases the validity of the environment.
📕1 Book, 🎧 1 Podcast, 📺1 Video, 📰1 Article
Here’s the best stuff I’ve found while researching this.
📕 Today’s Book
Andy Hunt, one of the 17 people who wrote the Agile Manifesto, started my thinking about this a decade ago with Pragmatic Thinking and Learning. This was the first place I learned about the Dreyfus Model. Hunt’s language is very simple. He writes to Software Engineers, but I find his ideas more broadly applicable. Being esoteric, the books are usually expensive but I’ve had luck finding Andy’s books on Thriftbooks.
I referenced Daniel Kahneman’s book Thinking Fast and Slow above – it’s a brilliant book, but incredibly long – nearly 600 pages and 20 hours on Audible.
Please buy in your local bookstore. They won’t survive without you.
🎧Today’s Podcast:
Andrew Huberman explores the biological processes involved in learning. He discusses focused practice among the strategies for accelerated learning..Episode link here (Apple Podcast link) (1 Hour 47 Minutes)
📺Today’s Video:
Veritasium discusses “The Four Criteria for Developing Expertise” to their 16M subscibers. Watch on YouTube here. (18 minutes)
📰Today’s Article:
Harvard Business Review recommends making time for learning every day and has tips for doing so in your business. I think this article should be updated for the age of AI which opens up lots of role playing opportunities. Maybe I’ll take that on. Excellent nonetheless. Read in Harvard Business Review Here
2 thoughts on “How learning works”