Quantitative research

Quantitative research provides numerical data to support design decisions through systematic investigation. For example, a survey measuring user satisfaction with a checkout process might ask users to rate ease of use on a 1-5 scale, revealing that 67% of users find address entry frustrating. Surveys, questionnaires, and structured interviews generate measurable user insights that can be statistically analyzed.

Statistical analysis transforms raw data into meaningful insights. Proper research design, from determining sample size to selecting appropriate methodologies, creates a foundation for evidence-based decision making.

Research validation techniques ensure findings accurately represent user populations. For example, an e-commerce study might use surveys to collect feedback across age groups and shopping frequencies, then validate findings by comparing it to actual purchase behavior. This methodical approach supports informed design decisions with statistical confidence.