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See Data Differently: Applying the Design Process to Data Science

Date post: 18-Dec-2014
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Description:
This is a condensed version of some other talks I've done, that I presented at Mission Measurement on June 9, 2014. In this 10-minute presentation, I give a high level introduction of the design process, how it's used as a means to solve ambiguous problems, and how it is an improvement over more traditional linear methods. I go through a case study of a recent project, in which we use the design process: asking the end user for specific problems and use cases, brainstorming with quantity over quality, prototyping with throwaway mockups and minimum viable products, and most importantly, iteration in a continuous feedback loop.
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data science & the design process solving problems in the face of ambiguity Bo Peng
Transcript
Page 1: See Data Differently: Applying the Design Process to Data Science

data science & !the design process!

solving problems in the face of ambiguity!Bo Peng!

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Page 3: See Data Differently: Applying the Design Process to Data Science

design is a process. !

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LINEAR!

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the design process - an overview !

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our design process - an overview !

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our design process - an overview !

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our design process - an overview !

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iterate, iterate, iterate!

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and now, the example.!

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the client!

•  fortune 50 international company !•  major restructuring of 20,000+ personnel !

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initial brainstorm!

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initial brainstorm!

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the data!

•  everyone is encouraged to write about their work!•  when people write, they are encouraged to

write together !•  most people took a survey !

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project goals!

reveal areas of expertise !

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project goals!

evaluate connectivity of subject matter experts !

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project goals!

management directed subject matter connections !

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consider the end user !

all analyses, visual and technical, throughout the project, follow from her needs!

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brainstorm!

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then, prototype !

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vs.

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vs.

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iterate, iterate, iterate.!

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