This unit introduces core principles for designing AI-augmented user experiences, including rapid low-fidelity prototyping, selecting strong use cases, and recognizing limits of automation. Students will practice quick sketching and prompt-framing techniques, assess when AI should augment versus replace expertise, and prepare design artifacts and criteria used in later testing and iteration.
Learning Objectives
- Analyze multiple task scenarios to prioritize and justify which workflows are appropriate for AI augmentation, identifying red flags (e.g., expecting AI to replace domain experts) and task criticality constraints
- Apply rapid, low-fidelity prototyping techniques (e.g., pencil sketches on sticky notes, quick exercise flows) to create at least three alternate interface concepts that reflect required real estate for task importance
- Demonstrate clear prompt and role-framing by composing and testing role-specific requests (e.g., asking for a “biologist”) and documenting expected outputs, assumptions, and limitations
- Evaluate common UX tasks for automation potential and produce a rationale for a strong use case that includes stakeholder needs, safety/accuracy considerations, and next steps for validation
Curriculum
- 1 Section
- 14 Lessons
- 30 hours
Expand all sectionsCollapse all sections
- Unit 1 — Foundations of UX for AI14
- 1.1If You Only Have a Couple of Hours20 mins
- 1.2Do the Exercises20 mins
- 1.3Draw in Pencil on Sticky Notes20 mins
- 1.4A Boiling Pot of Spaghetti20 mins
- 1.5Presuming That AI Will Be Telling Experts How to Do Their Job Is a Red Flag20 mins
- 1.6Strong Use Case20 mins
- 1.7The More Important the Task, the More Real Estate Is Required20 mins
- 1.8Design Idea #120 mins
- 1.9In the Beginning …20 mins
- 1.10UX Techniques That Will Likely See Full Automation20 mins
- 1.11References20 mins
- 1.12What Do You Expect When You Ask for “Biologist”?20 mins
- 1.13Final Thoughts20 mins
- 1.14Ask a Better Question20 mins
Instructor
Free
Leave a Reply