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CULTIVATING CREATIVITY
IN DATA WORK
HILARY PARKER
WOMEN IN ANALYTICS CONFERENCE
ABOUT ME
▸ Data Scientist at Stitch Fix
▸ Formerly a Data Analyst at Etsy
▸ #rcatlady
▸ Co-host of “Not So Standard Deviations”
podcast
DATA WORK
WHAT IS A DATA
SCIENTIST?
TYPE A
VS.
TYPE B
https://www.linkedin.com/pulse/data-science-from-b-michael-hochster/
TYPE A: ANALYSIS
https://www.linkedin.com/pulse/data-science-from-b-michael-hochster/
BE AN ARBITER OF A SET OF FACTS AND
PROVIDE CONTEXT INTO HOW TO UNDERSTAND
THESE FACTS
Jonathan Lisic (NSSD listener)
TYPE B: BUILDING
https://www.linkedin.com/pulse/data-science-from-b-michael-hochster/
WHAT IS AN ANALYSIS?
TRUTH
(WITH A CAPITAL T)
THEORY
(HOW DO YOU ACCOUNT FOR UNCERTAINTY?)
DELIVERABLE
(MEDIUM FOR THE MESSAGE)
NARRATIVE
(HOW DO YOU CONVEY THE TRUTH?)
EMOTION
MUSIC THEORY
INSTRUMENT
COMPOSITION
:: EMOTION
:: MUSIC THEORY
:: INSTRUMENT
:: COMPOSITION
TRUTH
THEORY
DELIVERABLE
NARRATIVE
LEARN THE THEORY
THE STUDY OF
UNCERTAINTY
https://www.flickr.com/photos/lordsutch/5863912831
DISTRIBUTION OF THE MEAN
▸ Central Limit Theorem
▸ Mean / standard error is normally distributed
T-DISTRIBUTION
▸ Gosset empirically observed
distributions that were not
normal
THEORY
▸ Third person perspective / observational science
THEORY
▸ Third person perspective / observational science
▸ Proofs for properties of statistical tests and phenomena
THEORY
▸ Third person perspective / observational science
▸ Proofs for properties of statistical tests and phenomena
▸ Empirically explored
THEORY
▸ Third person perspective / observational science
▸ Proofs for properties of statistical tests and phenomena
▸ Empirically explored
▸ Provides specific statements that can be used to construct the analysis
narrative.
MASTER THE
INSTRUMENT
ACHIEVE FLUENCY
https://twitter.com/alice_data/status/748200882043396096
WE MAY FIND THAT THE TWO BOTTLENECKS ARE WHAT YOU
WANT TO DO, AND HOW YOU TELL THE COMPUTER TO DO THAT. A
LOT OF MY EXISTING WORK…HAS BEEN MORE ABOUT HOW TO
MAKE IT EASIER TO EXPRESS WHAT YOU WANT
Hadley Wickham
TEXT
https://statr.me/2013/09/a-conversation-with-hadley-wickham/
TEXT
FLUENCY
▸ Fluency in statistical code
▸ Fluency in deliverable creation
ERRORS
BLAMELESS POSTMORTEM
▸ Rather than viewing errors as “human error” / person making a mistake, view
them as the system failing a person with good intentions
BLAMELESS POSTMORTEM
▸ Rather than viewing errors as “human error” / person making a mistake, view
them as the system failing a person with good intentions
▸ Adapt the system so that it does not fail a person with good intentions
COMMON ERRORS (THAT HURT FLUENCY)
▸ You re-run the analysis and get different results
COMMON ERRORS (THAT HURT FLUENCY)
▸ You re-run the analysis and get different results
▸ Your data becomes corrupted, but you don’t notice
COMMON ERRORS (THAT HURT FLUENCY)
▸ You re-run the analysis and get different results
▸ Your data becomes corrupted, but you don’t notice
▸ Requests and questions from your collaborators get lost
COMMON ERRORS (THAT HURT FLUENCY)
▸ You re-run the analysis and get different results
▸ Your data becomes corrupted, but you don’t notice
▸ Requests and questions from your collaborators get lost
▸ …
DELIVERABLE
▸ Also a third-person / observational science
DELIVERABLE
▸ Also a third-person / observational science
▸ Observed fluency (time-to-deliverable)
DELIVERABLE
▸ Also a third-person / observational science
▸ Observed fluency (time-to-deliverable)
▸ Observed error rate
Data science
as a
Science
(DSaaS) @jtleek
COMPOSE THE
NARRATIVE
CONVEY THE
TRUTH
WHAT IS SUCCESS?
A-HA
THE A-HA MOMENT
▸ Observable only from the first-person perspective
THE A-HA MOMENT
▸ Observable only from the first-person perspective
▸ Third person observers can only rely on accounts
THE A-HA MOMENT
▸ Observable only from the first-person perspective
▸ Third person observers can only rely on accounts
▸ People are unreliable about communicating their experiences
SCIENTIFIC METHOD AS ARGUMENT
SCIENTIFIC METHOD AS ARGUMENT
▸ “Gold standard” for
inferring the Truth
SCIENTIFIC METHOD AS ARGUMENT
▸ “Gold standard” for
inferring the Truth
▸ Method of convincing
that is effective for many
(but not all)
IS THIS ENOUGH?
(NO)
COMMON ADVICE
▸ “Think about your audience”
▸ “Build good partnerships”
▸ “Be a good communicator”
▸ …
EMPATHY
DESIGN
DESIGN ABILITY IS, IN FACT, ONE OF THE THREE FUNDAMENTAL
DIMENSIONS OF HUMAN INTELLIGENCE. DESIGN, SCIENCE,
AND ART FORM AN ‘AND’ NOT AN ‘OR’ RELATIONSHIP TO
CREATE THE INCREDIBLE HUMAN COGNITIVE ABILITY.”
Nigel Cross, Designerly Ways of Knowing
DESIGN METHODS
▸ Interviewing
▸ Creating user profiles
▸ Looking at other existing solutions
▸ Creating prototypes
▸ …
DATA DESIGN SPRINTS
DATA DESIGN SPRINTS
▸ How do we design a study to understand our customers better?
DATA DESIGN SPRINTS
▸ How do we design a study to understand our customers better?
▸ How do we design a plan for developing a new feature for our website?
DATA DESIGN SPRINTS
▸ How do we design a study to understand our customers better?
▸ How do we design a plan for developing a new feature for our website?
▸ How do we incorporate new data from users into multiple downstream use-
cases?
▸ Consensus on:
▸ Architecture of problem
▸ First wave of statistical approaches
▸ Next steps (and ownership of these steps)
SOME RESOURCES
▸ Designing Your Life
▸ Articulating Design Decisions
▸ Statistics as Principled Argument
TRUTH
THEORY
DELIVERABLE
NARRATIVE
THANKS!

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Cultivating Creativity in Data Work Through Theory, Instruments and Narrative