Graded Quiz: AI-Driven Prototyping and Conversational UX :Graded Quiz: Foundations of UI UX Design with Generative AI :Generative AI: The Future of UX UI Design (Generative AI for UI UX Design Specialization) Answers 2026

Question 1

Which action best helps the cross-functional team align before development?

❌ Conduct a customer survey without showing designs
❌ Rely entirely on AI and start development
❌ Create a separate requirements document
✅ Use the AI-generated screen as a discussion artifact for PMs, devs, and designers

Explanation:
AI drafts work best as collaboration artifacts. Reviewing them together helps identify gaps, feasibility issues, and design refinements before development.

Question 2

Which approach shows effective use of AI for fast, meaningful design iterations?

❌ Generate random screens without user goals
✅ Generate multiple screen variations focused on different user goals
❌ Produce identical layouts and tweak manually
❌ Create one generic wireframe only

Explanation:
AI is most powerful when it quickly produces goal-oriented variations that teams can compare and evaluate.

Question 3

What is the most effective way to involve a non-designer cross-functional team?

✅ Collect text ideas, generate AI mockups, and review together
❌ Let only designers create wireframes
❌ Delay collaboration until final build
❌ Ask developers to code first

Explanation:
AI-generated visuals turn abstract ideas into something everyone can react to, enabling inclusive collaboration early.

Question 4

Which response best demonstrates empathy in conversational UX after a payment failure?

✅ “Looks like your payment didn’t go through. Would you like to try again?”
❌ “Error: Payment failed.”
❌ “Transaction unsuccessful. Start over.”
❌ “Payment failed. Retry now.”

Explanation:
Empathy acknowledges the issue gently and offers a supportive next step instead of sounding abrupt or technical.

Question 5

How should a chatbot be prepared for unpredictable user responses?

✅ Prompt AI to generate multiple conversation flows (encouragement, clarification, error handling)
❌ Focus only on technical flows
❌ Use one standard response
❌ Rely only on past logs

Explanation:
Anticipating emotional and unpredictable responses ensures the chatbot remains helpful and human-centered.

Question 6

How should teams convert user stories into UI screens using AI?

✅ Use clear user stories and prompts specifying layout, actions, and goals
❌ Use vague stories
❌ Avoid variations
❌ Choose the most stylish screen

Explanation:
Well-defined prompts grounded in user goals help AI generate functional, usable screens—not just attractive ones.

Question 7

How can AI-generated interactive wireframes best meet user needs?

❌ Focus only on visual appeal
✅ Provide detailed, use-case-specific prompts tied to real tasks
❌ Copy competitor layouts
❌ Generate a generic homepage

Explanation:
User-centered prompts ensure wireframes support actual workflows instead of superficial design patterns.

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