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O'Reilly Platform
book
Designing with Data
by
Rochelle King
,
Elizabeth F Churchill
,
Caitlin Tan
March 2017
Beginner to intermediate
370 pages
9h 55m
English
O'Reilly Media, Inc.
Book available
Content preview from
Designing with Data
Index
A
abandonment metric
,
Metric sensitivity
Abstract (company)
,
Running parallel experiments
A/B testing
,
How much data to collect?
(
see also
experimentation)
about
,
Design and Data: A Perfect Synergy
,
Data as a Trend
analyzing
,
With a Little Help from Your Friends...
drawing conclusions from
,
Summary
establishing causality
,
How much data to collect?
,
Experimentation in the Internet Age
identifying right level of
,
Thinking about “Experiment 0”
informed opinions and
,
Informed Opinions about what will happen in the Wild
metrics in
,
New users versus existing users
running creative tests
,
Running Creative A/B Tests
statistical power and
,
Metrics: The Dependent Variable of A/B Testing
,
Keep Your Old Hypotheses in Your Back Pocket
statistical significance and
,
Learning About Causality
,
Metrics: The Dependent Variable of A/B Testing
,
Keep Your Old Hypotheses in Your Back Pocket
Wiley on
,
On Data Quality
acquiescence bias
,
Many Dimensions of Data
Active User (AU) metric
,
Metrics: The Dependent Variable of A/B Testing
“affect” data
,
Many Dimensions of Data
Airbnb rental service
competing metrics and
,
Refining Your Goals with Data
creating the right design environment
,
Building the team with data involved from the start
,
Learning from the Past
demographic information and
,
Cohorts and segments
development process
,
Examples: Data and Design in Action
effect of testing on customers
,
Case Study: Netflix on PlayStation 3
international considerations
,
Cohorts and segments
,
Running parallel experiments
key metrics and ...
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Publisher Resources
ISBN: 9781449334925
Errata Page