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UX Analytics: An Introduction
Simon MackieHow much do you like this book?
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This book is for all Frontend developers that want to build sites and apps that run
faster. You’ll need to be familiar with HTML and CSS and have a reasonable level
of understanding of JavaScript in order to follow the discussion.
Analytics are made up of data that can be analyzed to draw logical conclusions,
and for UX design specifically, that data contains information about the users of
your app or website, such as their age, their location, their interests, or simply
their behavior — that is, how they use your app or website.
With this information, you can draw logical conclusions about who your users are
and what they're looking for, and when you know what they're looking for, you
can deliver it.
Anything else is an educated guess at best, since data is objective — although
even in this objective data there can lie many subjective truths and
misconceptions. Analytics can be a mystery, and it requires a detective to
unravel those mysteries. Over a series of articles, we're going to teach you how
to unravel them.
We'll show you how to analyze data using various tools and methods, and find
hidden clues in that data to help you make design decisions that boost
conversions and improve UX.
faster. You’ll need to be familiar with HTML and CSS and have a reasonable level
of understanding of JavaScript in order to follow the discussion.
Analytics are made up of data that can be analyzed to draw logical conclusions,
and for UX design specifically, that data contains information about the users of
your app or website, such as their age, their location, their interests, or simply
their behavior — that is, how they use your app or website.
With this information, you can draw logical conclusions about who your users are
and what they're looking for, and when you know what they're looking for, you
can deliver it.
Anything else is an educated guess at best, since data is objective — although
even in this objective data there can lie many subjective truths and
misconceptions. Analytics can be a mystery, and it requires a detective to
unravel those mysteries. Over a series of articles, we're going to teach you how
to unravel them.
We'll show you how to analyze data using various tools and methods, and find
hidden clues in that data to help you make design decisions that boost
conversions and improve UX.
Categories:
Year:
2018
Publisher:
Sitepoint
Language:
english
Pages:
63
File:
PDF, 1.10 MB
Your tags:
IPFS:
CID , CID Blake2b
english, 2018
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