Frequently asked questions (FAQ's)

Frequently asked questions (FAQ's) and why we don't recommend them.

You may occasionally see Frequently Asked Question format (FAQs) on the web, but we don’t recommend them because current research and user testing suggests:

FAQ’s lead to duplication

If a question is frequently asked, it means you need to improve your content.

Simply structure content clearly so you don’t need a page of FAQ’s repeating the same information in a different way.

If customers are asking lots of question about council tax bills, just have a simple findable heading or link – ‘Council Tax bills’, with relevant information.

FAQ’s confuse web searches

Because FAQ’s often duplicate content that is available on the site anyway they can lead to confusing or competing search results for customers and worse can lead to inconsistent information.

If you feel the need to write FAQ’s look at reorganising your content first.

FAQ’s are hard to read

People don’t read on the web, they scan and they lose patience quickly.

FAQ’s are harder work for readers - questions take longer to scan and understand than simple headings and you can’t take any meaning from them in a quick glance.

Instead we front load content - we put the term most people are looking for at the beginning of a sentence or paragraph. If you write all subheadings with how/what/when/why (which you have to do with an FAQ) you can’t frontload. 

This means users can’t scan the words quickly, and they can’t understand quickly.

FAQ’s are too wordy

All sorts of people have to use our website.

We have to write for everyone so we write simply and clearly. We remove all duplication and superfluous text.

FAQ's and artificial intelligence (AI) search

There is emerging thinking that suggests FAQ's may have a place in helping AI web search, like chatbots, return better results.

Current research suggests that the best way to optimise content for AI search is still to write clear short content, in plain English, using descriptive and meaningful headings. Our design and content guidelines set out how to do this.

The web team are continuing to monitor best practise, research and advice, from trusted sources, to understand how best to optimise web content for AI search.