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RubyConf_2017_-_Kelsey_Pedersen.pdf
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Kelsey Pedersen
November 17, 2017
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RubyConf_2017_-_Kelsey_Pedersen.pdf
Kelsey Pedersen
November 17, 2017
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Transcript
HUMAN DECISION MAKING Kelsey Pedersen Software Engineer, Stitch Fix with
DATA SCIENCE AUGMENTING @kelsey_pedersen
@kelsey_pedersen KELSEY PEDERSEN
I’m a software engineer at Stitch Fix - a personalized
styling service
None
None
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None
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None
stylists data scientists
None
None
How do humans make decisions? What are the limitations of
human decision making? How can we help users make decisions with data science?
How do humans make decisions? Human Decisions Limits of Decisions
Stylists Decisions Humans & Data Science The Future
System 1 System 2
System 1 impressions & feelings
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95% of human decisions are made instantaneously
System 2 analytical & effortful
1737 x 1990 Answer: 3,456,630
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System 1 gut feelings System 2 computations
LEFT BRAIN RIGHT BRAIN
What are the limits in human decision making? Human Decisions
Limits of Decisions Stylists Decisions Humans & Data Science The Future
None
Human decisions are unpredictable
Inconsistent Judgments
Inconsistent Judgments
Inconsistent Judgments
Human decisions are driven by your own past experiences
Limited Information
Limited Information
Limited Information
Human decisions are driven by your own views and preferences
Biased Decisions
Biased Decisions
Biased Decisions
RISKY & UNPREDICTABLE
What are examples of Stitch Fix stylists making decisions? Human
Decisions Limits of Decisions Stylists Decisions Humans & Data Science The Future
Inconsistent Judgments by Stylists
Inconsistent Judgments by Stylists
Limited Information by Stylists
Limited Information by Stylists
Biased Decisions by Stylists
None
In what ways can data science augment human decisions? Human
Decisions Limits of Decisions Stylists Decisions Humans & Data Science The Future
None
Data Science Noun: Use of mathematics or statistics to answer
a business question
GUIDE DECISIONS WITH COMPUTATIONS TRAIN DECISIONS WITH FEEDBACK
DATA STYLING STYLING STYLING STYLING STYLING STYLING STYLING STYLING DATA
DATA DATA DATA DATA
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Deciding on one item
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72% 60% 48% 44%
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Deciding on all 5 items
72% 60% 48% 44% 76%
72% 60% 48% 44% 24%
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Client Feedback on all 5 items
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Client Feedback overtime for one Stylist
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All Feedback for all Stylists
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Can humans augment algorithms? Human Decisions Limits of Decisions Stylists
Decisions Humans & Data Science The Future
None
None
None
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72% 60% 48% 10%
72% 60% 48% 44% 24%
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stylists data scientists
What is the future of data science? Human Decisions Limits
of Decisions Stylists Decisions Humans & Data Science The Future
None
LEFT BRAIN RIGHT BRAIN VS.
System 1 gut feelings System 2 computations &
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Data Science Humans System 1 System 2 Data Science Humans
System 3
System 3 predictive & intuitive
stylists data scientists
TRAIN Performance Metrics
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System 1 gut feelings System 2 computations System 3 feedback
What is the business impact of system 3?
lower labor cost fewer mistakes from humans greater client satisfaction
increased keep rate
In conclusion…
Conclusion
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Conclusion
humans data science
@kelsey_pedersen KELSEY PEDERSEN