Data-Driven Product Design
Maggie Jan | Data Scientist
@Keen_IO
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•Intro to Data
•Build, Measure, Learn
•Product design & how data can help
•Applying analytics to your business
•How to build effective analytics
AGENDA
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Platform & API for ANALYTICS
keen.io
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Big Data and Analytics are kind of a
thing right now.
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Johannes Kepler
Tycho Brahe
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Analytics can help.
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What: Measurement of movement towards your
business goals.
Purpose: To iterate to product and market fit before
you run out of resources
Analytics: In a Nutshell
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Understandable
If you’re busy
explaining data,
you’re not busy
acting on it
ex: rides
requested
What is a good metric?
Comparative
Maintains
context.
ex: rides/day
Meaningful
Centers around
your core
business goals.
ex: revenue
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A good metric is behavior
changing.
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DATA & PRODUCT DESIGN
COMPANY
Juke Box Company
INDUSTRY
Internet of Things
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Good products provide customers with value
Premium products provide high & dependable value
Iterations build Relationships
Measured by: Return visits, Retention, Engagement
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APPLYING ANALYTICS TO
YOUR BUSINESS
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• Account creations
• Deploys
• Purchases
• App Launches
• Donations
• Posts
• Shares/Tweets/Likes
A COMMON GOAL: ENGAGEMENT
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COLLECT EVENT DATA
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ANALYTICS DB
CARS, TVs, ETC.
WEBSITES WEBSITES
CUSTOMERS
DASHBOARDS
MOBILE APPS
queries
queries
queries
events
events
events
VISUALIZE DATA
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CASE STUDIES
PUBLISHING
Goshen College
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Common Mistakes to Avoid in
Data-Driven Decision Making
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Confirmation Bias
Leading the Witness
Correlation vs Causation
Common Pitfalls
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Be disciplined in how you
capture and analyze your data
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Gut instinct = Hypothesis
Design a Test/Make Changes
in Production
Measure the Results
Did we achieve goals?
Controlled Experiments
try again
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CONTROLLED TESTS
CASE
A/B Testing
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Exploratory
Tries to find unexpected
insights
Source of competitive
advantage via insights
no one knew
Reporting
Keeps you abreast of
day-to-day operations
Predictable and
repeatable
Data & Product Design