Research
The difference between listening to users and understanding them
It's easy to listen to users. It's much harder to understand them.
Why research becomes more valuable when it goes beyond what users say and starts interpreting what they actually do.
In short
Why research becomes more valuable when it goes beyond what users say and starts interpreting what they actually do.
Why listening is only the start
I've been in glossarySessionA session is a single period of user interaction with a product, from entry to exit within a defined timeframe.Open glossary term where users confidently explain how they would behave, only to do something completely different a few minutes later. They say they'd read everything before making a decision, then skip half the content. They say they want more options, then hesitate when presented with them. They say something is clear, then struggle when they try to use it. None of that is intentional. It's just how people are.
What people say and what they actually do are often two very different things.
Where listening starts to fall short
If you take everything at face value, you end up designing for what users say they want, not what actually helps them. On one project, users repeatedly asked for more information earlier in the journey. The instinct was to surface more content upfront. On paper, that aligned perfectly with what had been said. In practice, it made the experience heavier and harder to move through. What users were really asking for wasn't more information. It was more glossaryConfidenceConfidence is the level of certainty in a decision or outcome based on available evidence.Open glossary term. That's a different problem.
Key takeaway
Users often describe the symptom they feel, not the actual cause behind it.
Where understanding begins
Understanding comes from looking beyond the words. It's about how people behave, where they hesitate, what they ignore, and what they expect to happen next. It's about spotting the gaps between what's said and what's done, and working out what's actually driving that glossaryBehaviourBehaviour refers to how users interact with a system, including actions, patterns, and responses.Open glossary term.
Some of the most useful glossaryInsightAn insight is a meaningful understanding that explains why something is happening and what it means.Open glossary term come from those gaps: a user saying something is fine but taking longer than expected to complete it; a moment where they pause not because something is unclear but because it doesn't feel right; a glossaryDecision PointA decision point is a moment in a user journey where a user must choose between actions that affect what happens next.Open glossary term where they second-guess themselves even though they've been given all the information they need. Those moments rarely show up in a summary, but they're often where the real issues sit.
What separates output from impact
Strong serviceUser ResearchUnderstand user behaviour, validate ideas, and make clearer product decisions with evidence you can act on.Open service gets lost all the time because it gets reduced to a deck of quotes and glossaryObservationObservation is a research method where user behaviour is watched and analysed without interference.Open glossary term. Everyone nods. Everyone agrees. It gets filed away as useful. And nothing changes.
Less polished serviceUser ResearchUnderstand user behaviour, validate ideas, and make clearer product decisions with evidence you can act on.Open service can glossaryLeadA lead is a potential customer who has shown interest in a product or service, typically by providing contact information or engaging with content.Open glossary term to real impact when someone takes the time to interpret it properly — to connect the dots, challenge what it means, push it into decisions instead of just documenting it. That's where the real difference sits. Not in how the research looks, but in what it changes. Good research is slightly uncomfortable. It challenges assumptions that felt safe, exposes gaps that weren't obvious, creates questions where there used to be certainty. That's when you know it's doing something.