Research

Why users don’t tell you the real problem

Users are very good at telling you when something doesn’t feel right. They’re much less reliable at telling you why.

Why research becomes more useful when feedback is treated as a signal to interpret, not an instruction to follow literally.

20 May 20255 min read

Why answers rarely explain the real issue

Not because they’re being difficult, but because they don’t experience problems in the same way teams define them.

When something doesn’t work, users don’t break it down into neat, diagnosable issues.

They don’t say, this has too many steps or this is introduced too early. They feel , hesitation, uncertainty. Sometimes they push through it, sometimes they stop.

What they tell you is their interpretation of that experience, not the cause of it.

What users tell you is usually their interpretation of the problem, not the cause of it.

How teams end up solving the wrong thing

I’ve been in where a user says something is confusing, but when you watch them more closely, the issue isn’t at all. It’s that the doesn’t match what they expected to happen next.

In another, a user described a as too long, but the real issue wasn’t the number of steps. It was that they were being asked to make decisions before they felt ready, which made the whole thing feel heavier than it actually was.

If you take those comments at face value, you end up solving the wrong problem.

That’s usually where things drift.

gets translated directly into action without enough interpretation. Something is labelled as confusing, so more explanation is added. Something feels long, so steps are removed. Sometimes that helps, but often it just shifts the problem somewhere else.

Because the underlying issue hasn’t been addressed.

Key takeaway

If feedback is taken too literally, teams often end up fixing the symptom rather than the cause.

Why the words are only part of the picture

I’ve seen this happen across different types of projects.

In eCommerce, users might say they want more information, when what they actually need is reassurance that they’re making the right decision.

In more complex , they might say something is unclear, when the real issue is that the doesn’t align with how they think about the task.

In both cases, the words point you in a direction, but they don’t tell you the full story.

That’s why the most valuable part of isn’t what users say.

It’s what sits behind it.

Where the real insight sits

You start to see in .

Where people hesitate.

Where they go back.

Where they move quickly without engaging.

Where they seem confident, and where that drops.

Those tell you far more than a direct answer ever will.

I’ve found that some of the most useful come from moments that users don’t even mention.

A pause before clicking.

A glance back at something they’ve already seen.

A shift in tone when they’re talking through a step.

None of that appears in a quote, but it’s often where the real problem is hiding.

What good research does instead

This is where becomes less about collecting and more about interpretation.

Understanding what’s driving , not just what’s being said.

In my experience, the teams that get the most value from are the ones that don’t treat user as instructions.

They treat it as .

Something to explore, question, and understand in .

Because users are very good at telling you when something doesn’t feel right.

They’re much less reliable at telling you why.

And if you rely on the answer instead of understanding the cause, you end up fixing the symptom, not the problem.

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Previous feedback

Will Parkhouse

Senior Content Designer

01/20