Design Thinking Data Intelligence

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Design Thinking Data Intelligence Linkedin Answers FINAL EXAM

From Linkedin Learning

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

Design Thinking Data Intelligence Linkedin Answers

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