See Data Differently: Applying the Design Process to Data Science

Post on 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.

transcript

data science & !the design process!

solving problems in the face of ambiguity!Bo Peng!

design is a process. !

LINEAR!

the design process - an overview !

our design process - an overview !

our design process - an overview !

our design process - an overview !

iterate, iterate, iterate!

and now, the example.!

the client!

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

initial brainstorm!

initial brainstorm!

the data!

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

write together !•  most people took a survey !

project goals!

reveal areas of expertise !

project goals!

evaluate connectivity of subject matter experts !

project goals!

management directed subject matter connections !

consider the end user !

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

brainstorm!

then, prototype !

vs.

vs.

iterate, iterate, iterate.!

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