see data differently: applying the design process to data science
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.TRANSCRIPT
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data science & !the design process!
solving problems in the face of ambiguity!Bo Peng!
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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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