Quantitative Research
What is this method about?
Any research that gives results in objective terms—e.g., numbers or values—and is conducted with a large sample size. Some examples of quantitative research are intercept surveys, email surveys, A/B testing, online assessments, click tracking.
Why use it
To evaluate responses from a wider user base and capture large amount of data for analysis and synthesize.
When should I use it?
When a large quantity of numerical and statistical data is required to support qualitative research findings or to quantify specified areas being researched—e.g., number of site visitors, email signups, likelihood to purchase/refer, number of views a page gets, number of user errors.
What you get
You will generate large amounts of numerical and/or statistical data from which you are able to generalize the findings across large groups of users.
At a glance
- Time: Short, Long, Extended
- Effort: Medium
- Cost: Medium
Materials
- Varies with the research method used.
- Online survey: Specialized online survey links/sites e.g. Survey Monkey.
- Offline survey: Multiple printed questionnaires, pens
- A/B testing: Software and live websites
Who is involved
- UX Researcher
- Research Partner (possible)
- Test participants
- Product Manager
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