IA

Good IA reduces thinking, bad IA creates it

The best information architecture removes the need to stop and work things out. The worst kind quietly adds effort at every step.

Why information architecture is really about reducing cognitive load, and how poor structure makes users think harder than they should.

22 September 20245 min read

In short

Why information architecture is really about reducing cognitive load, and how poor structure makes users think harder than they should.

What good structure feels like

You land on a page, start moving through it, and everything feels straightforward. You don’t have to stop and work things out. You don’t have to double-check what something means. You just move.

Then there are other times where it’s the opposite.

You’re not stuck, exactly. Nothing is completely broken. But you find yourself pausing. Reading something twice. Hovering for a second longer than you should. Trying to make sure you’ve understood what’s in front of you before committing to the next step.

That’s thinking.

And most of the time, it’s unnecessary.

Good removes that burden almost entirely.

Good information architecture removes unnecessary thinking before users even realise it was there.

Why predictability matters more than neatness

When a is structured well, users don’t feel like they’re navigating it.

They feel like they’re progressing through something that makes sense.

Each step follows naturally from the last. The way things are grouped feels predictable. The labels don’t need interpreting. You don’t have to ask yourself, is this the right place because it’s already obvious.

You’re not making decisions about the .

You’re focusing on what you came there to do.

That’s usually the point people miss.

IA isn’t just about organising content neatly.

It’s about reducing the amount of thinking required to use something.

And when it’s done well, it almost disappears.

Key takeaway

Good IA works because users spend less energy understanding the system and more energy completing their task.

Why users only notice it when it goes wrong

I’ve watched users move through well-structured without saying much at all. No commentary, no hesitation, no need to explain what they’re doing. They just move from one step to the next, completing what they came to do without .

If you asked them afterwards, they probably wouldn’t describe it as exceptional.

They’d say it was easy.

That’s usually the best outcome.

Because the goal isn’t to impress people with how something is structured.

It’s to remove the need for them to think about it in the first place.

What poor IA forces users to do

Bad does the opposite.

It forces users to interpret things that should be obvious.

They have to work out where something might live.

They have to translate internal language into something that makes sense to them.

They have to decide between options that aren’t clearly distinct.

None of that is part of their goal.

It’s effort created by the .

Why that effort compounds so quickly

And it adds up quickly.

A single moment of hesitation doesn’t seem like much.

But when it happens repeatedly, across a , it starts to change how the whole experience feels. What should be simple becomes tiring. What should be obvious becomes something you have to double-check.

drops.

And when drops, changes.

Users slow down.

They backtrack.

They abandon things they would have completed if it had felt easier.

Not because they can’t do it.

Because it’s asking too much of them.

That’s the real cost of poor IA.

It’s not always visible in a single .

It shows up in accumulation.

Why adding more rarely helps

I’ve seen teams try to solve this by adding more guidance. More labels, more explanations, more options to make things clearer. But that often makes things worse.

Because it increases the amount of thinking, not reduces it.

doesn’t come from adding more.

It comes from organising things properly in the first place.

When the structure is right, you don’t need to explain it.

It explains itself.

How you know it is working

And that’s usually the signal you’ve got it right.

Not when users say it’s clever.

Not when say it looks neat.

But when no one has to stop and think about how it works.

Because good doesn’t demand attention.

It quietly removes the need for it.

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Will Parkhouse

Senior Content Designer

01/20