What user research doesn’t do

UX research provides data, but data alone doesn't improve products. Teams must interpret findings and translate them into actionable decisions. The value lies in understanding what data means for your product. Research requires interpretation to be useful:

• Data reveals patterns, not solutions. If users don't use a "Share" feature, the data shows what's happening but not why. Teams must determine whether users don't need the feature or can't find it. Each explanation leads to different solutions.
• Research tests assumptions. Teams can form hypotheses and use research to validate them. If you assume users notice your homepage banner first, an eye-tracking study reveals whether that holds true.
• Context matters for interpretation. Low feature usage might signal a design problem in a mature product but represent expected behavior in a newly launched feature that users haven't discovered yet.

Without analysis, research becomes expensive data collection that sits unused. Teams that interpret findings and connect them to product decisions get full value from their research efforts.