20131212 BrightTALK: design and data science

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When you hear someone say, “that is a nice infographic” or “check out this sweet dashboard,” many people infer that they are “well-designed.” Creating accessible (or for the cynical, “pretty”) content is only part of what makes good design powerful. The human-centered design process is geared toward solving specific problems. This process has been formalized in many ways (e.g., IDEO’s Human Centered Design, Marc Hassenzahl’s User Experience Design, or Braden Kowitz’s Story-Centered Design), but the basic idea is that you have to explore the breadth of the possible before you can isolate truly innovative ideas. In this talk, I'll share some lessons we've learned from the human-centered design process and how those lessons can be used by other data science practitioners.

Transcript of 20131212 BrightTALK: design and data science

@deanmalmgren @DsAtweet

design and data science

2013 december brighttalk

@deanmalmgren @DsAtweet

design and data science

2013 december brighttalk

@deanmalmgren @DsAtweet

design and data science

innovating with data requires a unique approach

2013 december brighttalk

Through 2015, 85% of Fortune 500 organizations will be unable to exploit big data

for competitive advantage.

@deanmalmgren | bit.ly/design-data

no solutions available?

@deanmalmgren | bit.ly/design-data

no solutions available?successful all, companies are really different

@deanmalmgren | bit.ly/design-data

no solutions available?

Innovation does not come from a product,but from a process.

@deanmalmgren | bit.ly/design-data

design: the process of creating

@deanmalmgren | bit.ly/design-data

design: the process of creating

ideo’s human-centered design

@deanmalmgren | bit.ly/design-data

design: the process of creating

ideo’s human-centered design

eric ries’ lean startup

@deanmalmgren | bit.ly/design-data

design: the process of creating

ideo’s human-centered design

eric ries’ lean startup

agile programming

@deanmalmgren | bit.ly/design-data

design: the process of creating

@deanmalmgren | bit.ly/design-data

unique challenges of designing with data

@deanmalmgren | bit.ly/design-data

unique challenges of designing with datastakeholder naiveté

@deanmalmgren | bit.ly/design-data

unique challenges of designing with datared tape

@deanmalmgren | bit.ly/design-data

unique challenges of designing with dataterminology barriers

@deanmalmgren | bit.ly/design-data

unique challenges of designing with dataunknown need

@deanmalmgren | bit.ly/design-data

unique challenges of designing with datastakeholder alignment

@deanmalmgren | bit.ly/design-data

unique challenges of designing with dataanalysis distrust

@deanmalmgren | bit.ly/design-data

unique challenges of designing with data

analysis distruststakeholder alignmentunknown need

terminology barriersred tapestakeholder naiveté

@deanmalmgren | bit.ly/design-data

lessons learned from designing with dataduct tape and popsicle sticks

@deanmalmgren | bit.ly/design-data

lessons learned from designing with dataduct tape and popsicle sticks

@deanmalmgren | bit.ly/design-data

lessons learned from designing with dataduct tape and popsicle sticks

@deanmalmgren | bit.ly/design-data

stakeholder alignmentunknown need

terminology barriersstakeholder naiveté

lessons learned from designing with dataduct tape and popsicle sticks

@deanmalmgren | bit.ly/design-data

lessons learned from designing with datarapid iteration

@deanmalmgren | bit.ly/design-data

lessons learned from designing with datarapid iteration

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@deanmalmgren | bit.ly/design-data

lessons learned from designing with datarapid iteration

@deanmalmgren | bit.ly/design-data

lessons learned from designing with datarapid iteration

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@deanmalmgren | bit.ly/design-data

lessons learned from designing with datarapid iteration

@deanmalmgren | bit.ly/design-data

lessons learned from designing with datarapid iteration

@deanmalmgren | bit.ly/design-data

lessons learned from designing with datarapid iteration

@deanmalmgren | bit.ly/design-data

lessons learned from designing with datarapid iteration

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@deanmalmgren | bit.ly/design-data

lessons learned from designing with datarapid iteration

@deanmalmgren | bit.ly/design-data

lessons learned from designing with datarapid iteration

@deanmalmgren | bit.ly/design-data

lessons learned from designing with datarapid iteration

@deanmalmgren | bit.ly/design-data

lessons learned from designing with datarapid iteration

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@deanmalmgren | bit.ly/design-data

lessons learned from designing with datarapid iteration

@deanmalmgren | bit.ly/design-data

lessons learned from designing with datarapid iteration

@deanmalmgren | bit.ly/design-data

analysis distruststakeholder alignment

terminology barriers

lessons learned from designing with datarapid iteration

@deanmalmgren | bit.ly/design-data

lessons learned from designing with datasimplicity for starters

@deanmalmgren | bit.ly/design-data

lessons learned from designing with datasimplicity for starters

@deanmalmgren | bit.ly/design-data

analysis distrustunknown need

stakeholder naiveté

lessons learned from designing with datasimplicity for starters

@deanmalmgren | bit.ly/design-data

lessons learned from designing with dataexplain it to your grandmother

@deanmalmgren | bit.ly/design-data

analysis distrust

terminology barriersstakeholder naiveté

lessons learned from designing with dataexplain it to your grandmother

@deanmalmgren | bit.ly/design-data

lessons learned from designing with datasurrogate data is better than none

@deanmalmgren | bit.ly/design-data

lessons learned from designing with datasurrogate data is better than none

@deanmalmgren | bit.ly/design-data

analysis distrustunknown need

red tapestakeholder naiveté

lessons learned from designing with datasurrogate data is better than none

@deanmalmgren | bit.ly/design-data

lessons learned from designing with datatransparency

@deanmalmgren | bit.ly/design-data

lessons learned from designing with datatransparency

@deanmalmgren | bit.ly/design-data

analysis distrust

red tape

lessons learned from designing with datatransparency

@deanmalmgren | bit.ly/design-data

http://bit.ly/design-data !

@deanmalmgren dean.malmgren@datascopeanalytics.com

innovating with data requires a unique approach