Performing UX research for the sake of UX research is never a good idea. The main goal is to gain valuable findings, sort them out, analyze them, and, finally, generate insights that can be applied to the development process.

One of the biggest mistakes UX practitioners may make is jumping to hasty conclusions based on raw, statistical data and acting without proper consideration. Data analysis allows seeing the bigger picture, making more meaningful decisions, and thus, saving money and time. Instead of fixating on random numbers or users' quotes, UX researchers should seek an answer to why users behave or think in a certain way.^[1]

For example, if your user research reveals that 80% of users tend to ignore your Subscribe button, try to find out why this happens. Maybe, instead of redesigning the button, you might have to change its placement or reconsider the benefits you offer users through your subscription.

Thorough data analysis helps teams clearly understand users’ pain points and make more rational decisions.