Card sorting studies help understand how users naturally categorize information. This information can help with creating a product's information architecture (IA) that matches users' mental models.
Counting how frequently something is mentioned in qualitative data will not always show you what's most important. Sometimes, the most valuable insights are mentioned only once.
In a card-sorting study, users organize topics into groups. Use this research method to create an information architecture that suits your users' expectations.
Field research is conducted in the user’s natural setting. Learn the unexpected by leaving the office and observing people in their normal environments.
Data on what works well or poorly on other sites saves you from implementing useless features and guides UX investments to features that your users need.
A benchmark research repository helps conduct valid benchmarking studies. It should include all the details and the raw data of your UX-benchmarking study.
Most UX surveys are administered during the final Listen phase of the design cycle. However, there are many different types of surveys, which can be used effectively throughout the design cycle.
UX-stakeholder interviews help us gather any information that may help shape the design process, define success metrics, and ultimately meet stakeholder expectations.
Demographic questions related to age, race, gender and income can be sensitive topics for research participants and need to be carefully framed by UX researchers.
Confounding variables interfere with quantitative studies, leading to inaccurate results. Avoid introducing such variables by randomizing your study’s conditions and keeping your research questions focused.
