Build Courses People Actually Finish

Build Courses People Actually Finish

This course teaches intermediate creators, coaches, and educators how to design online learning that reliably finishes: clear outcomes, friction reduction,…

Instructor: T.I. Team

Level: intermediate

Duration: 6 weeks

Price: $49

Course Curriculum

Module 1 — Completion-First Architecture: Outcomes, Friction, and Momentum

  • 1.1 — What Completion Actually Measures (and Why It Fails)
  • 1.2 — Define the Target Outcome and Evidence of Success
  • 1.3 — Learner Baseline, Constraints, and Time Budgets
  • 1.4 — The Minimal Viable Pathway (MVP) to the Outcome
  • 1.5 — Momentum by Design: Early Wins, Visible Progress, and Next-Step Clarity
  • 1.6 — Friction Audit: Where Learners Leak Time and Willpower
  • 1.7 — Course Map to Module Map: Naming, Promises, and Success Criteria Per Module
  • 1.8 — Baseline Metrics: What to Measure Before You Change Anything

Module 2 — Learning Science for Completion: Cognitive Load, Multimedia, and Durable Learning

  • 2.1 — Cognitive Load Theory as a Completion Tool
  • 2.2 — Mayer’s Multimedia Principles for Clear Instruction (Without More Content)
  • 2.3 — Lesson Structure Patterns That Sustain Momentum
  • 2.4 — Retrieval Practice and Low-Stakes Quizzing That Learners Don’t Hate
  • 2.5 — Application Tasks: From Knowledge to Performance
  • 2.6 — Feedback Cycles: Speed, Specificity, and Scalable Options
  • 2.7 — Spacing, Interleaving, and Pacing That Fits Real Life
  • 2.8 — Deliberate Practice: Difficulty Ramps That Keep People In

Module 3 — Retention Systems and Accountability: Habit Loops, Check-Ins, and Community Design

  • 3.1 — Ethical Habit Loops for Learning: Trigger → Action → Reward → Investment
  • 3.2 — Check-Ins That Work: Progress, Barriers, and Next Commitments
  • 3.3 — Milestones, Streaks, and Pacing: Designing Progress Signals That Matter
  • 3.4 — Accountability Design: Peer Pods, Partners, and Public Commitments
  • 3.5 — Coaching Touchpoints: Office Hours, Audits, and Lightweight Reviews
  • 3.6 — Community UX for Learning: Norms, Threads, and Reduced Noise
  • 3.7 — Nudges and Reminders: Timing, Content, and Behavior Targets
  • 3.8 — Drop-Off Diagnostics: Stuck Points, Confusion Signals, and Intervention Design

Module 4 — Measurement, Iteration, and Mastery: Experiments That Raise Completion

  • 4.1 — Completion Analytics: The Metrics That Actually Explain Behavior
  • 4.2 — Survey and Interview Design for Drop-Off Diagnosis
  • 4.3 — A/B Testing in Courses: What You Can Test Ethically and Reliably
  • 4.4 — Iteration Prioritization: Fix the Highest-Leverage Bottlenecks First
  • 4.5 — Redesign Clinics: Rewriting One Module for Clarity, Practice, and Momentum
  • 4.6 — Scaling Support Without Losing Completion: Automation, Templates, and Peer Systems
  • 4.7 — Quality Assurance for Learning Experience: Consistency, Time Estimates, and Cognitive Load
  • 4.8 — The Completion Operating System: Cadence, Roles, and Continuous Improvement
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