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Design thinking isn't just a buzzword—it's a structured methodology that separates companies who truly innovate from those who simply iterate. When you study these case studies, you're learning to recognize patterns of human-centered problem-solving that appear across industries, from healthcare to consumer electronics to financial services. The exam will test your ability to identify which design thinking principles drove specific outcomes and why certain approaches succeeded where traditional product development would have failed.
These cases demonstrate the full design thinking toolkit: empathy research, rapid prototyping, cross-functional collaboration, and iterative testing. Don't just memorize company names and product features—know what stage of the design thinking process each case exemplifies and how the methodology created competitive advantage. When you see an FRQ asking you to recommend a design thinking approach, these cases become your evidence bank.
These cases showcase how deep user research—observing, interviewing, and immersing in the user's world—leads to breakthrough products that address pain points customers couldn't articulate themselves.
Compare: IDEO's Shopping Cart vs. GE Healthcare's Adventure Series—both used ethnographic observation to uncover unarticulated needs, but IDEO focused on functional pain points while GE addressed emotional pain points. If an FRQ asks about empathy research methods, these are your go-to contrasts.
These cases demonstrate how design thinking extends beyond single products to create integrated experiences that lock in users and generate network effects.
Compare: Apple's iTunes vs. Airbnb's platform—both created ecosystems, but Apple controlled the entire experience through vertical integration while Airbnb designed rules and interfaces for a two-sided marketplace. This distinction matters for FRQs about platform business models.
These cases show how design thinking scales from individual products to company-wide culture change, requiring leadership commitment and structural reorganization.
Compare: IBM vs. Nike—IBM transformed how the entire company works (process innovation), while Nike transformed how a specific product category is made (product innovation). Both required executive sponsorship and multi-year commitment, but IBM's change was horizontal across functions while Nike's was vertical within a product line.
These cases demonstrate how design thinking incorporates behavioral economics to create products that change user habits through smart defaults and friction reduction.
Compare: Bank of America vs. Oral-B—both used behavioral design, but Keep the Change works through invisible automation while Oral-B relies on visible feedback. This illustrates two distinct nudge strategies: removing the decision entirely vs. improving decision quality through information.
| Concept | Best Examples |
|---|---|
| Empathy Research & Observation | IDEO Shopping Cart, P&G Swiffer, GE Adventure Series |
| Ecosystem/Platform Design | Apple iPod/iTunes, Airbnb, Uber |
| Organizational Transformation | IBM Design Thinking, Nike Flyknit |
| Behavioral Design & Nudges | Bank of America Keep the Change, Oral-B |
| Reframing the Problem | P&G Swiffer, GE Adventure Series |
| Rapid Prototyping | IDEO Shopping Cart, P&G Swiffer |
| Trust Architecture | Airbnb, Uber |
| Sustainability Integration | Nike Flyknit |
Which two case studies best demonstrate how ethnographic observation uncovers needs that surveys miss, and what type of need did each reveal (functional vs. emotional)?
Compare IBM's design thinking transformation with Nike's Flyknit development: How did the scope of change differ, and what does each case teach about organizational requirements for design thinking?
If an FRQ asked you to recommend a design thinking approach for a healthcare company trying to improve patient experience, which case study provides the strongest model and why?
Bank of America's Keep the Change and Oral-B's toothbrush both apply behavioral economics—what's the fundamental difference in their nudge strategies, and when would you recommend each approach?
Apple and Airbnb both built successful platforms, but their design challenges differed significantly. What was the core trust problem each had to solve, and how did their design solutions reflect their different business models?