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Userlytics Glossary

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Qualitative Data

Numbers and statistics show what users do or how many face an issue. However, they often miss the important why. This is where Qualitative Data plays a key role in User Experience (UX) research. Qualitative data is descriptive and non-numerical. It helps us understand the depth of human experiences, opinions, motivations, contexts, and feelings. It… 
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Qualitative Research

To create great user experiences, we need to understand more than just what users do. We also need to grasp why they do it, how they feel, and the context of their actions. This is where qualitative research comes in. It focuses on gaining deep insights into human behaviour, experiences, attitudes, and motivations. We gather… 
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Quantitative Data

Understanding the ‘why’ behind user actions is important. However, UX research must also measure how many users are affected, how often something occurs, or how much a metric changes. This is where Quantitative Data matters. Quantitative data is numerical information that can be measured and counted. In UX, it focuses on objective measurements of user… 
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Quantitative Research

Understanding user experiences is important. However, UX professionals also need to measure behavior and track performance. They must understand the scale of issues or successes in their user base. This is where Quantitative Research comes in. Quantitative research is a systematic way to investigate. It focuses on collecting and analysing numerical data. This helps identify… 
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Quick and Dirty Testing

In the fast-paced world of product development, teams often need user feedback quickly. Sometimes, there isn’t enough time or resources for a full usability study. This is where Quick and Dirty Testing comes in. It’s an informal way to evaluate usability. The goal is to get immediate feedback on design questions, concepts, or prototypes. The… 
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