AI Skill Practice and Habit Design Templates

What this is

The book's design method for AI-supported skill coaching. It names six things AI can coach, gives step-by-step designs for three kinds of intervention (skill building, habit formation, performance support), supplies two fill-in templates (Skill Practice Design Template and Habit Formation Protocol), and sets out the Manager-AI "handshake" with a ten-box checklist. The chapter's premise: "He didn't need more training. He needed practice."

Use when / Do not use when

Use when a person already knows what skill or behavior they want to build and needs repetition and feedback between human conversations.

Do not use for identity, meaning, belief or ethics questions. The book puts those in the Transform domain ("Human Domain Protections and Escalation Protocol"). Do not use it to replace the manager's role; in the handshake model "the manager directs the AI coaching".

The Instrument

What AI can coach (book wording)

1. Specific skill practice with feedback. Communication skills (presentations, difficult conversations, email writing, meeting facilitation); technical skills (applying processes, using frameworks, following methodologies); situational skills (negotiation, conflict navigation, stakeholder influence).
2. Behavioral repetition for habit formation. Daily micro-practices (five minutes of the behavior you're building); trigger-based reminders ("When X happens, do Y."); streak tracking and reinforcement.
3. Knowledge reinforcement and application. Spaced repetition; application prompts ("You learned X. How does it apply to this situation?"); connection to real work.
4. Scenario-based learning. Role-play simulations; decision-making practice ("What would you do in this scenario?"); consequence exploration ("If you choose X, what happens?").
5. Goal tracking and accountability. Progress monitoring against commitments; milestone reminders before deadlines; barrier identification when you're stuck.
6. Just-in-time performance support. Contextual help at the moment of need; quick reference and guidance; problem-solving assistance ("I'm stuck. Help me think through this.").

Design 1: skill building (six steps, book wording)

1. Identify the target skill. Be specific. Not "communication" but "asking open-ended questions in discovery calls."
2. Break the skill into observable behaviors. What does good look like in practice? What are the 3-5 behaviors that matter most? Book example for good discovery questioning: (1) starts with open questions, (2) follows up based on answers, (3) listens more than talks, (4) identifies patterns in responses, (5) avoids leading questions.
3. Create practice scenarios. Realistic situations where the skill is needed. Multiple scenarios, varying difficulty. Example: discovery call scenarios ranging from friendly prospects to skeptical gatekeepers.
4. Define what "good" looks like. Clear criteria for feedback. What's excellent? What's acceptable? What needs work?
5. Set up AI to provide feedback against standard. Specific: "You asked 3 open questions and 7 closed questions. Aim for more open." Actionable: "Instead of 'Do you need this feature?' try 'How are you handling X today?'" Encouraging: "You listened well after asking questions. You're building that skill."
6. Build repetition and progression. Start easy, increase difficulty over time. Track improvement across sessions. Celebrate progress while maintaining standards.

Design 2: habit formation (six steps, book wording)

1. Identify the target behavior. One behavior at a time. Small enough to do consistently. Example: "Spend first five minutes of morning planning top three priorities."
2. Define triggers and contexts. When should this behavior happen? What's the cue? Example: "When I sit down at my desk with coffee, before opening email."
3. Create micro-commitments. Smallest version of the behavior that counts. Example: "Write down three priorities. Just the act of writing counts, even if they change."
4. Set up AI reminders and check-ins. At the right moments, with the right frequency. Example: "Daily reminder at 8:30 AM. Check-in Friday afternoon on streak."
5. Track consistency over time. "Streaks matter more than perfection. Five days in a row builds momentum." Visual progress reinforces the habit.
6. Celebrate progress. Recognition for consistency ("You've done this 20 days in a row. That's the habit forming."). Milestone acknowledgment ("First month complete. How does it feel?").

Design 3: performance support (five steps, book wording)

1. Identify common challenge moments. Where do people get stuck repeatedly? What questions come up often? Example: "How do I respond when a customer says 'your price is too high'?"
2. Create just-in-time resources. Answers formatted for immediate use. Not theory. Practical guidance. Example: "Three responses to price objections, when to use each, how to follow up."
3. Set up AI to deliver at point of need. Accessible in workflow. Searchable. One question away. Example: "Ask the AI: 'Customer says price is too high. What do I say?'"
4. Make access frictionless. No barriers. No multi-step processes. Immediate help.
5. Measure utilization and impact. Are people using it? Is it helping? Are the same questions still recurring?

Skill Practice Design Template (book wording)

• Skill to build: [Be specific]
• Observable behaviors that demonstrate skill: 1. [Behavior] 2. [Behavior] 3. [Behavior]
• Practice scenarios (easy to hard): Scenario 1: [Description]; Scenario 2: [Description]; Scenario 3: [Description]
• What "good" looks like: Excellent: [Criteria]; Acceptable: [Criteria]; Needs work: [Criteria]
• Feedback focus areas: [What to give feedback on]; [What to give feedback on]
• Repetition plan: Frequency: [How often]; Duration: [How long each session]; Progression: [How difficulty increases]
• Success indicators: [How you'll know it's working]

Habit Formation Protocol (book wording)

• Target behavior: [One specific behavior]
• Trigger: [What cues this behavior]
• Micro-commitment: [Smallest version that counts]
• Reminder setup: Timing: [When]; Channel: [How delivered]; Frequency: [How often]
• Tracking method: [How you'll track streaks]
• Milestone celebrations: 7 days: [Recognition]; 30 days: [Recognition]; 90 days: [Recognition]

The handshake model: manager and AI (book wording)

1. Manager and team member identify development focus (Human). "You want to get better at stakeholder influence. Let's focus there."
2. AI provides practice and reinforcement (AI). Weekly scenarios. Feedback after each. Progress tracking.
3. Manager checks in on progress (Human). "How's the practice going? What are you noticing?"
4. AI provides data on practice patterns (AI). "Team member completed 8 practice sessions, showing improvement in X, still working on Y."
5. Manager adjusts approach based on what's working (Human). "The practice is helping with preparation. Let's add real-time coaching after your next stakeholder meeting."

"The manager doesn't disappear. The manager directs the AI coaching and stays involved in the transformation work that surrounds skill building."

The Manager-AI Handshake Checklist (book wording)

• Manager and team member agree on development focus
• Specific skill/habit identified for AI coaching
• Practice scenarios or prompts created
• Team member knows how to access AI coaching
• Manager explains why this skill matters (the "so what")
• Check-in schedule established (manager + team member)
• AI set up to track progress and provide feedback
• Escalation path clear (when to involve manager)
• Success criteria defined (what does better look like?)
• Timeline set (how long will we focus on this?)

Book illustration (unverified, not for ROI or proof claims)

A sales rep who has been trained on a discovery framework still defaults to old habits in live calls. His manager lacks the time for repeated role-play, so he sets up a recurring practice routine in which an AI plays the customer and gives feedback on his questions and listening. The book presents this as practice at scale. It is an illustration, not evidence.

How to run it (Performance Lab suggested practice)

1. Choose the design that fits: Design 1 for a skill, Design 2 for a daily behavior, Design 3 for a recurring moment where people get stuck.
2. Fill in the matching template before opening any AI tool. The "what good looks like" criteria are the standard you will give the tool.
3. Give the tool the behaviors and criteria. Score the first few feedback outputs with the AI Coaching Quality Rubric.
4. If a manager is involved, complete the Handshake Checklist before the first practice session.
5. Review with the person at the check-in. If the topic moves from "what do I do differently" to "who do I need to become", route to a human ("Human Domain Protections and Escalation Protocol").

Record sheet (Performance Lab suggested practice)