Data-Informed Product Design / Pavliscak, Pamela.

Format:

Book

Author/Creator:

Pavliscak, Pamela, author.

Language:

English

Subjects (All):

Product design.

Online social networks--Economic aspects.

Online social networks.

Internet marketing.

Physical Description:

1 online resource (25 pages)

Edition:

1st edition

Place of Publication:

O'Reilly Media, Inc., 2015.

System Details:

text file

Summary:

The need to understand people lies at the core of any product design, and currently there are two standard ways to measure that understanding: big datasets and small research studies—aka "thick data." Most organizations favor big over thick, but in doing so they miss the larger picture. In this report, author Pamela Pavliscak outlines a way to use data of all kinds to understand the relationship between people and technology. Big data shows traces of interactions that people leave behind, but it doesn't reveal the whole story. By adding user stories, you can go beyond the "what" to discover why people behave as they do. Up until now, there hasn’t been much information on how to combine quantitative big data with qualitative thick data. That's where this report can help. You’ll learn: What to consider when using data to understand people Key differences between big data and small research studies Why organizations should combine big and thick data to understand human behavior, emotion, and language Which data sources or research methods work best in combination How to categorize and combine data effectively in metrics Methods for infusing design documents with data How to work across teams to understand customers This report is ideal for product designers and developers, data scientists, design researchers, and business strategists.

Notes:

Online resource; Title from title page (viewed June 15, 2015)

Includes bibliographical references.

ISBN:

9781492048688

1492048682

OCLC:

1078253662