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Design Thinking: Data Intelligence

Design Thinking: Data Intelligence

44mIntermediate2018-04-10

Authors

frog

frog

frog is a global design and strategy firm.

Randall Elliott

Randall Elliott

UX Designer and Technologist

Course details

Yesterday big data was all the rage; today we have intelligent machines and processes to leverage that data wisely. Learn how modern data intelligence helps designers provide a more personal and human design experience. Randall Elliott, associate director of design technology at frog, shows how to use data in creative problem-solving: to generate ideas, create better designs, and connect with users in meaningful ways. He tackles data generated by computers as well as that gathered through interviews and other hands-on means. He shows how to collect, analyze, and visualize the information to help solve your customer's challenges, leveraging intelligent tools and agile processes such as rapid prototyping.

Learning objectives
Describe four ways in which intelligence can enable better design.
Define pivoting and describe its utility in ideation.
Compare the design process to the scientific method.
Contrast prototyping methods.
Describe the use of predictive analysis from large data sets.

Skills covered

Design ThinkingUser ExperienceData AnalysisGraphic DesignData ScienceBusiness Analysis and StrategyBusiness Software and ToolsOne-Off

Concepts

0. Introduction

  • 01 - Welcome

1. A Foundation for Design Intelligence

  • 02 - How design intelligence provides value
  • 03 - Design intelligence best practices
  • 04 - Design research and data intelligence
  • 05 - How to avoid data paralysis
  • 06 - Add intelligence to your concepts

2. Applying Data Intelligence to Design

  • 07 - Data science and design
  • 08 - Rapid prototyping with data
  • 09 - Framing with data intelligence
  • 10 - Intelligence will transform designers

3. Our Transformation through Intelligence

  • 11 - Great experiences from predictive data
  • 12 - A new skill set for data intelligence
  • 13 - Partners in design intelligence
  • 14 - How design disciplines must evolve

4. Seeing Data Intelligence

  • 15 - Visualizing data intelligence

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