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Augmenting Human Decision Making with Data Scie...
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Kelsey Pedersen
May 07, 2018
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Transcript
HUMAN DECISION MAKING Kelsey Pedersen Software Engineer, Stitch Fix with
DATA SCIENCE AUGMENTING @kelsey_pedersen
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@kelsey_pedersen
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The future of software development is the integration of algorithms
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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 FAST SLOW
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
What are the limits in human decision making? Human Decisions
Limits of Decisions Stylists Decisions Humans & Data Science The Future
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Human decisions are unpredictable
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Human decisions are driven by your own past experiences
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Human decisions are driven by your own views and preferences
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What is an example of balancing humans and data science?
Human Decisions Limits of Decisions Stylists Decisions Humans & Data Science The Future
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Inconsistent Judgments by Stylists
Information Overload by Stylists
Biased Decisions by Stylists
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In what ways can data science augment human decisions? Human
Decisions Limits of Decisions Stylists Decisions Humans & Data Science The Future
GUIDE DECISIONS WITH COMPUTATIONS TRAIN DECISIONS WITH FEEDBACK
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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% 56%
50% 26% 18% 14% 27%
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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
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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 humans and data science? Human
Decisions Limits of Decisions Stylists Decisions Humans & Data Science The Future
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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
TRAIN Performance Metrics
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