AI to the Design Thinking Process
This course integrates Artificial Intelligence into the world-renowned “Design Thinking” methodology (Empathize, Define, Ideate, Prototype, Test). Students will explore how AI can act as a collaborator at every stage of the human-centered design process, from processing large datasets for user empathy to generating divergent ideas and simulating user feedback for testing.
§ 01 By the end you can
- Enhance the "Empathize" phase using AI sentiment analysis and data synthesis
- Use AI to sharpen problem statements in the "Define" phase
- Apply generative tools to diverge and converge rapidly during "Ideation"
- Accelerate the "Prototype" phase with AI-generated mockups and storyboards
- Conduct synthetic "Testing" and analyze feedback using machine learning
§ 02 Sixteen sessions
The whole semester.
- 01Overview: Design Thinking in the AI Era
- 02Phase 1: Empathize - Data Gathering
- 03AI for Interview Analysis & Insight
- 04Phase 2: Define - Pattern Recognition
- 05Crafting "How Might We" with LLMs
- 06Phase 3: Ideate - Breaking Creative Blocks
- 07Divergent Thinking: Quantity to Quality
- 08 · MidtermMidterm Examination
- 09Ideation II: Converging & Selecting
- 10Phase 4: Prototype - Low-Fidelity AI
- 11Prototype - High-Fidelity & UI Generation
- 12Phase 5: Test - Simulating User Interactions
- 13Analyzing Test Data with AI
- 14Iteration: The AI Feedback Loop
- 15Case Studies: AI Design Thinking in Industry
- 16Final Project Submission & Process Book
Midterm around session 8. Final project briefed at session 8 or 9 and developed in stages until the juries.
§ 03 Final project
Final Project Submission & Process Book
Recommended reading
- Design Thinking for Strategic Innovation by Idris Mootee
- Creative Confidence by Tom Kelley and David Kelley
- Human + Machine: Reimagining Work in the Age of AI by Paul R. Daugherty
- The Design Thinking Playbook by Michael Lewrick
- Sprint: How to Solve Big Problems and Test New Ideas in Just Five Days by Jake Knapp
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