strata preview 2014: design thinking for dummies (data scientists)

@deanmalmgren @mstringer

@laurieskelly

2014 february strata preview

design thinking for dummies (data scientists)tuesday, february 11, 9:00 a.m.

data scientists thrive with ambiguitysolve for x

x = 5 + 2

proj

ect e

volu

tion

@deanmalmgren | bit.ly/design-data

data scientists thrive with ambiguitysolve for x

x = 5 + 2

proj

ect e

volu

tion

A x = b

@deanmalmgren | bit.ly/design-data

data scientists thrive with ambiguitysolve for x

x = 5 + 2

proj

ect e

volu

tion

A x = boptimize A x = b

subject to f(x) > 0

@deanmalmgren | bit.ly/design-data

data scientists thrive with ambiguitysolve for x

x = 5 + 2

proj

ect e

volu

tion

A x = b optimize f(x)

optimize A x = b

subject to f(x) > 0

@deanmalmgren | bit.ly/design-data

data scientists thrive with ambiguitysolve for x

x = 5 + 2

proj

ect e

volu

tion

A x = b optimize f(x)

optimize A x = b

subject to f(x) > 0

optimize “our profitability”

@deanmalmgren | bit.ly/design-data

origins of ambiguitymany feasible approaches

@deanmalmgren | bit.ly/design-data

origins of ambiguityunclear problems

@deanmalmgren | bit.ly/design-data

identify the best locations to plant new trees

origins of ambiguityunclear problems

@deanmalmgren | bit.ly/design-data

identify the best locations to plant new treeshow many?

what kinds of trees? move old trees?

replace old trees?

origins of ambiguityunclear problems

identify the best locations to plant new treeshow many?

what kinds of trees? move old trees?

replace old trees?

aesthetically pleasing? maximize growth? increase folliage? offset CO2 emissions?

@deanmalmgren | bit.ly/design-data

@deanmalmgren | bit.ly/design-data

“design process” is used everywhereanticipate failure

generate hypotheses

build prototype

evaluate feedback

1-4 week iterations

@deanmalmgren | bit.ly/design-data

generate hypotheses

build prototype

evaluate feedback

surveys, interviews, focus groups split testing, A/B testing QA; requirements churn

personas, scenarios, use cases business/product requirements story/user cards

build device prototypes minimum viable product write code

human-centered design lean startup agile programming

“design process” is used everywhereanticipate failure

1-4 week iterations

@deanmalmgren | bit.ly/design-data

design and data sciencechallenges in practice

generate hypotheses

build prototype

evaluate feedback

problem lost in translation

1-4 week iterations

@deanmalmgren | bit.ly/design-data

generate hypotheses

build prototype

evaluate feedback

problem lost in translation

takes a long time to collect data, analyze, and build visualization

design and data sciencechallenges in practice

1-4 week iterations

@deanmalmgren | bit.ly/design-data

generate hypotheses

build prototype

evaluate feedback

proof is in the pudding

problem lost in translation

takes a long time to collect data, analyze, and build visualization

design and data sciencechallenges in practice

1-4 week iterations

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

@deanmalmgren dean.malmgren@datascopeanalytics.com

solve ambiguous problems with an iterative approach