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Author Pavliscak, Pamela, author

Title Data-Informed Product Design / Pavliscak, Pamela
Edition First edition
Published O'Reilly Media, Inc., 2015
Online access available from:
Safari O'Reilly books online    View Resource Record  


Description 1 online resource (25 pages)
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 Mode of access: World Wide Web
Copyright © 2015 O'Reilly Media, Inc
Issuing Body Made available through: Safari, an O'Reilly Media Company
Subject Product management.
Product differentiation.
New products.
Form Electronic book
Author Safari, an O'Reilly Media Company