AI Ecosystem CourseBy Queensly Austin
Module 19

Human-AI Product Design And Learning Experience

Introduction Available · Lessons In Development

Introduction

A capable model can sit inside an app that leaves people confused. What information did it use? Did it send the message, or just draft it? What can I do if the answer is wrong? Human-AI product design connects the system's behavior to the person's task, understanding, and control.

We will explore needs, workflows, mental models, affordances, feedback, trust, review, accessibility, interruption, and learning design. The same ideas apply to this course: clear scope, manageable sessions, visible progress, a place to restart, and practice that explains the answer. People can benefit from these choices without needing a diagnostic label.

Review task evaluation in Module 16 and decision authority in Module 17. Your project is a product-and-learning blueprint tested with users. Start with tasks and interactions, then examine failures and control, and finish with learning and measurement. Use an interview-preparation assistant and a beginner learning AI as your examples.

Planned lessons

  1. Begin With The Person's Task
  2. Mental Models And Expectation Setting
  3. Affordances, Signifiers, And Visible State
  4. Choose The Interaction Form That Fits The Work
  5. Onboarding And The First Useful Success
  6. Trust Should Follow Evidence
  7. Review Effort And The Human-In-The-Loop Promise
  8. Errors, Explanations, And Recovery
  9. Accessibility And Cognitive Effort
  10. Feedback That Supports Correction And Learning
  11. Personalization With Control
  12. Agency, Actions, And Meaningful Control
  13. Designing Activities That Test Learning
  14. Short Sessions, Interruption, And Read Aloud
  15. Usability Testing With Concrete Tasks
  16. Product And Learning Outcomes