Data-Informed Product Design (Paperback)

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 studiesaka "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.'box-sizing: border-box; padding: 0px; margin-top: 0em; margin-bottom: 1em; margin-left: 1em; font-family: "Amazon Ember", Arial, sans-serif; font-size: small; background-color: rgb(255, 255, 255);'Big data shows traces of interactions that people leave behind, but it doesn't reveal the whole story. adding user stories, you can go beyond the "what" to discover why people behave as they do. Up until now, there hasnt been much information on how to combine quantitative big data with qualitative thick data. That's where this report can help.'box-sizing: border-box; padding: 0px; margin-top: 0em; margin-bottom: 1em; margin-left: 1em; font-family: "Amazon Ember", Arial, sans-serif; font-size: small; background-color: rgb(255, 255, 255);'Youll 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.