Design Thinking Data Intelligence
Design Thinking Data Intelligence Linkedin Answers FINAL EXAM
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
Design Thinking Data Intelligence Linkedin Answers
