57.1 AI Research Support
AI Research Support is a UI/UX design skill that helps make products easier to understand, use, test, and improve. The method should be tied to a real user problem instead of decoration alone.
Step by step
- Define the user problem connected to AI Research Support.
- Collect evidence before jumping to a polished solution.
- Create the smallest flow, sketch, wireframe, prototype, or test needed to answer the question.
- Test the design with realistic content, states, and device constraints.
- Record what you learned and change the design based on evidence rather than preference.
10 practical examples
- Apply AI Research Support to a course website and explain the decision you made.
- Apply AI Research Support to a online store and explain the decision you made.
- Apply AI Research Support to a banking app and explain the decision you made.
- Apply AI Research Support to a school portal and explain the decision you made.
- Apply AI Research Support to a clinic booking system and explain the decision you made.
- Apply AI Research Support to a dashboard and explain the decision you made.
- Apply AI Research Support to a restaurant site and explain the decision you made.
- Apply AI Research Support to a mobile app and explain the decision you made.
- Apply AI Research Support to a creator site and explain the decision you made.
- Apply AI Research Support to a business landing page and explain the decision you made.
Hands-on example
UI/UX PRACTICE
Problem: A user struggles with AI Research Support.
Evidence to collect: interview, observation, analytics, or usability result.
Artifact: flow, sketch, wireframe, prototype, or test plan.
Success measure: task completion, clarity, error reduction, or satisfaction.
Next step: test one assumption.Expected output
A user-centered design artifact for AI Research Support plus a clear statement of what evidence would confirm or reject the design decision.
Practice exercise
Create a fresh example for AI Research Support using a different product, screen, component, or content set. Explain what changed and why.
57.2 AI Ideation
AI Ideation is a UI/UX design skill that helps make products easier to understand, use, test, and improve. The method should be tied to a real user problem instead of decoration alone.
Step by step
- Define the user problem connected to AI Ideation.
- Collect evidence before jumping to a polished solution.
- Create the smallest flow, sketch, wireframe, prototype, or test needed to answer the question.
- Test the design with realistic content, states, and device constraints.
- Record what you learned and change the design based on evidence rather than preference.
10 practical examples
- Apply AI Ideation to a course website and explain the decision you made.
- Apply AI Ideation to a online store and explain the decision you made.
- Apply AI Ideation to a banking app and explain the decision you made.
- Apply AI Ideation to a school portal and explain the decision you made.
- Apply AI Ideation to a clinic booking system and explain the decision you made.
- Apply AI Ideation to a dashboard and explain the decision you made.
- Apply AI Ideation to a restaurant site and explain the decision you made.
- Apply AI Ideation to a mobile app and explain the decision you made.
- Apply AI Ideation to a creator site and explain the decision you made.
- Apply AI Ideation to a business landing page and explain the decision you made.
Hands-on example
UI/UX PRACTICE
Problem: A user struggles with AI Ideation.
Evidence to collect: interview, observation, analytics, or usability result.
Artifact: flow, sketch, wireframe, prototype, or test plan.
Success measure: task completion, clarity, error reduction, or satisfaction.
Next step: test one assumption.Expected output
A user-centered design artifact for AI Ideation plus a clear statement of what evidence would confirm or reject the design decision.
Practice exercise
Create a fresh example for AI Ideation using a different product, screen, component, or content set. Explain what changed and why.
57.3 AI Interfaces
AI Interfaces is a UI/UX design skill that helps make products easier to understand, use, test, and improve. The method should be tied to a real user problem instead of decoration alone.
Step by step
- Define the user problem connected to AI Interfaces.
- Collect evidence before jumping to a polished solution.
- Create the smallest flow, sketch, wireframe, prototype, or test needed to answer the question.
- Test the design with realistic content, states, and device constraints.
- Record what you learned and change the design based on evidence rather than preference.
10 practical examples
- Apply AI Interfaces to a course website and explain the decision you made.
- Apply AI Interfaces to a online store and explain the decision you made.
- Apply AI Interfaces to a banking app and explain the decision you made.
- Apply AI Interfaces to a school portal and explain the decision you made.
- Apply AI Interfaces to a clinic booking system and explain the decision you made.
- Apply AI Interfaces to a dashboard and explain the decision you made.
- Apply AI Interfaces to a restaurant site and explain the decision you made.
- Apply AI Interfaces to a mobile app and explain the decision you made.
- Apply AI Interfaces to a creator site and explain the decision you made.
- Apply AI Interfaces to a business landing page and explain the decision you made.
Hands-on example
UI/UX PRACTICE
Problem: A user struggles with AI Interfaces.
Evidence to collect: interview, observation, analytics, or usability result.
Artifact: flow, sketch, wireframe, prototype, or test plan.
Success measure: task completion, clarity, error reduction, or satisfaction.
Next step: test one assumption.Expected output
A user-centered design artifact for AI Interfaces plus a clear statement of what evidence would confirm or reject the design decision.
Practice exercise
Create a fresh example for AI Interfaces using a different product, screen, component, or content set. Explain what changed and why.
57.4 Human Review
Human Review is a UI/UX design skill that helps make products easier to understand, use, test, and improve. The method should be tied to a real user problem instead of decoration alone.
Step by step
- Define the user problem connected to Human Review.
- Collect evidence before jumping to a polished solution.
- Create the smallest flow, sketch, wireframe, prototype, or test needed to answer the question.
- Test the design with realistic content, states, and device constraints.
- Record what you learned and change the design based on evidence rather than preference.
10 practical examples
- Apply Human Review to a course website and explain the decision you made.
- Apply Human Review to a online store and explain the decision you made.
- Apply Human Review to a banking app and explain the decision you made.
- Apply Human Review to a school portal and explain the decision you made.
- Apply Human Review to a clinic booking system and explain the decision you made.
- Apply Human Review to a dashboard and explain the decision you made.
- Apply Human Review to a restaurant site and explain the decision you made.
- Apply Human Review to a mobile app and explain the decision you made.
- Apply Human Review to a creator site and explain the decision you made.
- Apply Human Review to a business landing page and explain the decision you made.
Hands-on example
UI/UX PRACTICE
Problem: A user struggles with Human Review.
Evidence to collect: interview, observation, analytics, or usability result.
Artifact: flow, sketch, wireframe, prototype, or test plan.
Success measure: task completion, clarity, error reduction, or satisfaction.
Next step: test one assumption.Expected output
A user-centered design artifact for Human Review plus a clear statement of what evidence would confirm or reject the design decision.
Practice exercise
Create a fresh example for Human Review using a different product, screen, component, or content set. Explain what changed and why.
57.5 Safety
Safety is a UI/UX design skill that helps make products easier to understand, use, test, and improve. The method should be tied to a real user problem instead of decoration alone.
Step by step
- Define the user problem connected to Safety.
- Collect evidence before jumping to a polished solution.
- Create the smallest flow, sketch, wireframe, prototype, or test needed to answer the question.
- Test the design with realistic content, states, and device constraints.
- Record what you learned and change the design based on evidence rather than preference.
10 practical examples
- Apply Safety to a course website and explain the decision you made.
- Apply Safety to a online store and explain the decision you made.
- Apply Safety to a banking app and explain the decision you made.
- Apply Safety to a school portal and explain the decision you made.
- Apply Safety to a clinic booking system and explain the decision you made.
- Apply Safety to a dashboard and explain the decision you made.
- Apply Safety to a restaurant site and explain the decision you made.
- Apply Safety to a mobile app and explain the decision you made.
- Apply Safety to a creator site and explain the decision you made.
- Apply Safety to a business landing page and explain the decision you made.
Hands-on example
UI/UX PRACTICE
Problem: A user struggles with Safety.
Evidence to collect: interview, observation, analytics, or usability result.
Artifact: flow, sketch, wireframe, prototype, or test plan.
Success measure: task completion, clarity, error reduction, or satisfaction.
Next step: test one assumption.Expected output
A user-centered design artifact for Safety plus a clear statement of what evidence would confirm or reject the design decision.
Practice exercise
Create a fresh example for Safety using a different product, screen, component, or content set. Explain what changed and why.
Chapter 57 review — 10 questions and answers
1. What is the main purpose of AI Research Support?
Answer: AI Research Support is a UI/UX design skill that helps make products easier to understand, use, test, and improve. The method should be tied to a real user problem instead of decoration alone.
2. What is a common mistake with AI Research Support?
Answer: Treating AI Research Support as a visual preference instead of connecting it to a user need, constraint, or testable outcome.
3. What is the main purpose of AI Ideation?
Answer: AI Ideation is a UI/UX design skill that helps make products easier to understand, use, test, and improve. The method should be tied to a real user problem instead of decoration alone.
4. What is a common mistake with AI Ideation?
Answer: Treating AI Ideation as a visual preference instead of connecting it to a user need, constraint, or testable outcome.
5. What is the main purpose of AI Interfaces?
Answer: AI Interfaces is a UI/UX design skill that helps make products easier to understand, use, test, and improve. The method should be tied to a real user problem instead of decoration alone.
6. What is a common mistake with AI Interfaces?
Answer: Treating AI Interfaces as a visual preference instead of connecting it to a user need, constraint, or testable outcome.
7. What is the main purpose of Human Review?
Answer: Human Review is a UI/UX design skill that helps make products easier to understand, use, test, and improve. The method should be tied to a real user problem instead of decoration alone.
8. What is a common mistake with Human Review?
Answer: Treating Human Review as a visual preference instead of connecting it to a user need, constraint, or testable outcome.
9. What is the main purpose of Safety?
Answer: Safety is a UI/UX design skill that helps make products easier to understand, use, test, and improve. The method should be tied to a real user problem instead of decoration alone.
10. What is a common mistake with Safety?
Answer: Treating Safety as a visual preference instead of connecting it to a user need, constraint, or testable outcome.