Questions when analyzing quantitative data

The analysis of quantitative data implies working with numbers. Although it might appear a tedious and overwhelming task, quantitative UX analysis allows researchers to see patterns and tendencies and investigate how users interact with a product. Based on gathered insights, we can decide what can be improved to help people achieve their goals faster and more effectively.

When analyzing quantitative data, you can define things like:

• The success rate of a specific task
• Time users spend to complete a task
• The bounce rate of a webpage
• Users' demographic profile
• Features that users use the most
• User satisfaction with a feature or product
• User needs that are not met by the product
• Critical features that require the greatest attention
• Different experiences of different user groups^[1]