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A Comprehensive Guide to Attitudinal and Behavioral Data for User Research

Understanding user behavior and preferences is crucial for product owners, founders, and UX researchers in the development and optimization of products and services. To achieve this understanding, two types of data are of paramount importance: attitudinal and behavioral data.

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Unlocking the Benefits of Qualitative vs Quantitative Research for UX

This article explores the differences between qualitative and quantitative UX research, with a focus on how these forms of research can be used together to gain an overall better understanding of user experience. It discussed the advantages and disadvantages of each approach, examples of methods from both, as well as strategies for combining them.

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Using Grounded Theory to Develop User-Centered Design Strategies

Grounded Theory is a qualitative research methodology that helps researchers explore social processes such as how people interact with each other and their environment.

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Why My Time as a QA and BA Make Me a Better Proponent for the User

QA involves preventing defects in customer products and overseeing software testing. QA tests interfaces for compliance with requirements, while BAs improve business systems and facilitate communication between stakeholders, also assisting with training documentation. UX design focuses on creating seamless user experiences in all aspects of product design.

Convergent Research Design flow chart, Quantitative and Qualitative Data gathered in parallel, then merged and analyzed

Designing Effective Research Designs for User Studies: A Guide to Mixed Methods Approaches

Mixed methods research integrates quantitative and qualitative approaches to collect and analyze numerical and descriptive data, offering a comprehensive understanding of a research problem.

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Making Sense of User Data: A Guide to Thematic Analysis in UX Research

Thematic analysis explores patterns of meaning within qualitative research data. Thematic analysis is a qualitative research approach that involves the identification of themes in data.