Design Thinking Data Intelligence

Design Thinking Data Intelligence Linkedin Answers FINAL EXAM

From Linkedin Learning

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Question 1 of 6
What does “pivoting” mean in the process of concept development?

• applying the same concept to a completely different problem
• adapting or modifying a concept to address one of the four enablers
• identifying data required to validate a concept
• ideating to establish the antithesis of the design concept

Question 2 of 6
In the scientific method, a hypothesis is formed and tested. What is the analogy to the hypothesis in the design process?

• a very large data set
• a product test or experiment
• a design, solution, or product
• customer feedback

Question 3 of 6
What is the difference between data prototyping and data-driven prototyping?

• Data-driven prototyping requires a larger team and more time.
• Data-driven prototyping uses real data and requires early collaboration.
• Data prototyping does not require much designer effort, but is data-intensive.
• Data prototyping is closer to a finished product.

Design Thinking Data Intelligence Linkedin Answers

Question 4 of 6
Julia runs a site purveying specialty hats. How might she best use predictive analysis?

• to track previous purchases
• to predict whether or not a customer is going to make a purchase
• to solicit new customers
• to choose appropriate types and colors of hats with which to tempt repeat customers

Question 5 of 6
How can you best ensure your continued relevance in the areas of design thinking and data intelligence?

• by digging deeper into the interactions of psychology and AI
• by becoming an expert coder
• by evolving with new technology and data
• by specializing in traditional statistics

Question 6 of 6
Which of the four enabling verbs applies to the situation of automating repetitive tasks to create more free time?

• discover
• transform
• humanize
• expedite

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Design Thinking Data Intelligence Linkedin Answers

Design Thinking Data Intelligence Linkedin Answers