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Userlytics Glossary

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Data Collection

Data Collection in UX Research User Experience (UX) research focuses on understanding users. This understanding relies on data, not just guesses or feelings. Data Collection is the first step. It means gathering information about target users in a planned way. This data is crucial for analysis, spotting patterns, and creating insights that guide design and… 
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Decentralized UX Team Model

Organizations set up their User Experience (UX) teams in different ways. Each method has strengths and affects how UX research and design are done. One common model is the Decentralized UX Team, also called an Embedded or Distributed structure. In this setup, UX professionals join specific cross-functional product teams. They work closely with product managers,… 
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Deceptive Patterns

Digital design should guide users honestly. However, some designs intentionally mislead users into unintended actions for business gain at the user’s expense. These are Deceptive Patterns (formerly “dark patterns”). They pose a significant ethical challenge, undermining user trust and autonomy. Understanding and avoiding them is a critical responsibility for UX professionals. User research and testing… 
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Diary Study

Understanding long-term user habits can be tough with just one research session. Diary Studies help by gathering detailed, real-time data from users over days or weeks in their everyday settings. This method provides a broader perspective that single tests or interviews often overlook. This article explains Diary Studies. It covers their process and importance for… 
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Digital Personalization

Digital Personalization in UX In a world full of information and choices, standing out means creating unique experiences for each user. Digital Personalization tailors the content, features, or design of a digital product to individual users based on their data. When done right, personalization makes interfaces more efficient, engaging, and valuable. It also drives important… 
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