Chapter 18 Exercises: Deliberate Practice

Exercise 1: Practice Audit — Which Kind Are You Doing?

Time required: 20 minutes What you need: Honest reflection on your current practice routine

For a skill you're currently developing, describe your typical practice session in specific detail. Write out what you actually do, step by step, for a typical 60-minute session.

Then classify each component using Ericsson's three types: - Naive practice: Just doing the thing, no specific improvement goal - Purposeful practice: Specific goals, focused attention, some feedback, but not systematically informed by domain excellence standards - Deliberate practice: Specifically targeted at identified gaps, at edge of ability, with feedback, informed by expert knowledge of domain standards

For most people doing this honestly, the audit reveals that a large fraction of their "practice" time is naive or lightly purposeful. That's the starting point.

Follow-up question: If you could shift 30 minutes of your practice session from naive to deliberate, what would that look like specifically?

Exercise 2: Gap Analysis — The Honest Performance Inventory

Time required: 30–45 minutes

This is the core exercise for designing deliberate practice: you can't target what you haven't identified.

For a skill you're developing, conduct a gap analysis in three parts:

Part 1: Self-assessment List five to eight specific sub-skills within your domain. Rate yourself honestly on each on a scale from 1 (novice) to 5 (expert). Be as specific as possible: not "chess" but "tactical pattern recognition," "endgame technique," "opening preparation," "time management under pressure."

Part 2: Expert comparison For each sub-skill, describe what excellent performance looks like. If you don't know, find out: watch expert performers, read about the domain, ask a teacher. Now note the gap between your current level and the excellent level in each area.

Part 3: Priority targeting Identify the two or three sub-skills where improvement would have the most impact on your overall performance. These become your deliberate practice targets.

Write a one-sentence specific practice goal for each target, following this structure: "I will [specific action] with the goal of [measurable outcome], using [feedback mechanism] to know whether I'm improving."

Exercise 3: Design a Deliberate Practice Session

Time required: 45–60 minutes (including actual practice)

Using the four components of deliberate practice as your template, design and execute one actual deliberate practice session for a skill you're developing.

Before the session, write: 1. Specific goal: What precisely are you working on? (Not "practice guitar" but "master the fingerpicking pattern in the bridge of Song X, getting it right at 80% of tempo ten times in a row without stopping") 2. Why this target: Which gap in your performance does this address? 3. Feedback mechanism: How will you know whether each attempt is correct? 4. Edge of ability check: Is this goal genuinely at your edge — hard enough to require full concentration, easy enough that you can eventually succeed?

During the session: - If you succeed at a task easily and consistently, increase the difficulty immediately - If you're failing more than 70–80% of the time, the difficulty is too high — adjust - When you lose concentration, stop and take a break rather than continuing at reduced intensity

After the session, write: 1. Did you stay at the edge of ability throughout? Or did it get too easy / too hard? 2. What feedback did you receive, and was it timely enough? 3. Did you reach the specific goal? If not, what was the obstacle? 4. What would the next session's goal be, given what you learned?

Exercise 4: The Mental Representation Builder

Time required: 30 minutes + ongoing practice What you need: Access to examples of excellent performance in your domain

This exercise builds the mental representations that deliberate practice is ultimately aiming for.

Step 1: Find three to five examples of excellent performance in your domain. This might be: - Master games for chess - Professional recordings for music - Published code by respected engineers - Elite competition footage for sports - Published research or writing in academic domains

Step 2: Study each example carefully with the specific question: "What makes this excellent? What specifically is happening here that distinguishes this from competent performance?"

Step 3: Write a description of what you noticed — not just "it's better" but what specifically makes it better. What decisions were made? What techniques were used? What was avoided?

Step 4: Now attempt to perform in the same domain, holding your description in mind as a standard. Afterward, compare your performance to that description. Where did you meet the standard? Where did you fall short?

The goal: You're building a mental model of excellence that you can use to evaluate your own performance. This is what coaches provide when they're not available — a standard you carry inside.

Exercise 5: The 70% Success Rate Calibration

Time required: 15–20 minutes

A practical tool for finding your deliberate practice zone. For a specific practice task — tactical chess puzzles, music sight-reading exercises, problem sets, code challenges, language vocabulary — run this experiment:

Round 1: Do ten problems or exercises at your normal practice level. Track how many you get right on the first try. If your success rate is above 80%, the material is too easy for deliberate practice. If it's below 50%, it's too hard.

Round 2: Adjust the difficulty based on Round 1 and try ten more. Continue adjusting until you find the level where you're succeeding at roughly 60–70% of items on the first attempt. That's your deliberate practice zone.

The lesson: Feeling mostly successful during practice is actually a signal that you're in the maintenance zone, not the growth zone. Genuine deliberate practice involves a real error rate — and that's correct.

Exercise 6: Deliberate Practice Planning for David's Domain

A thought experiment for anyone in a self-directed learning context

David is learning machine learning without a formal teacher. Traditional deliberate practice in the Ericsson sense requires a coach who knows what excellence looks like. David doesn't have that.

Design a deliberate practice plan for self-directed ML learning that approximates the four components of deliberate practice as closely as possible:

1. Specific goals: What specific sub-skills of ML should be targeted? (Be more specific than "machine learning" or even "model evaluation")
2. Standards: How can a self-directed learner find out what excellent performance looks like in ML? (Consider: Kaggle competition analysis, published papers, code reviews, mentorship)
3. Feedback mechanisms: Without a real-time coach, what feedback mechanisms are available? (Consider: automated testing, competition leaderboards, peer review, working through problems with known correct answers)
4. Edge calibration: How can David tell whether his current project is at his learning edge?

This exercise has no single right answer. The goal is to think through the principles carefully enough to design something that actually produces improvement — not just learning activity.