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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.
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@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 [email protected]
innovating with data requires a unique approach
