Write for the words people actually type
· 1 min read
An accurate article still fails if people search in the language of the problem and you wrote in the language of the service.
In brief
The article exists. It is accurate. It is even well written. Nobody finds it, because it is called Multi-factor authentication enrolment and people type new phone, cannot sign in. Knowledge teams write in the language of the service. Customers search in the language of the problem. Those two vocabularies overlap less than we like to think. Search does not fail loudly. It returns nothing useful, the person shrugs, and a ticket arrives that says please help. The good news is that your users are already telling you their words. Every search that finds nothing is a free lesson in how they think. This article sets out a few plain habits: read the failed searches every week; add the words people use as keywords, including the slang and the misspellings; put the problem, in their words, in the title or first line; and ask the service desk what callers actually say. Keywords are not a box to tick when you publish. They are a conversation with the people searching, and it never quite ends. This matters more as AI assistants start answering from your knowledge. They are only as good as the match between the question and the content.
The article exists. It is accurate. It is even well written. Nobody finds it, because it is called "Multi-factor authentication enrolment" and people type "new phone, can't sign in".
Knowledge teams write in the language of the service. Customers search in the language of the problem. Those two vocabularies overlap less than we like to think.
Search does not fail loudly. It returns nothing useful, the person shrugs, and a ticket arrives that says "please help".
The good news is that your users are already telling you their words. Every search that finds nothing is a free lesson in how they think.
A few plain habits
- Read the failed searches every week.
- Add the words people use as keywords, including the slang and the misspellings.
- Put the problem, in their words, in the title or first line.
- Ask the service desk what callers actually say.
Keywords are not a box to tick when you publish. They are a conversation with the people searching, and it never quite ends.
This matters more as AI assistants start answering from your knowledge. They are only as good as the match between the question and the content.
Next step
What is the strangest thing people search for in your knowledge base? Join the conversation on ESM's Exchange: https://exchange.esm.institute
Tags: knowledge management, service management, self-service, ESM
Join the Exchange free
Join free to unlock the complete knowledge library.
Founder membership is free for life
More from Esm
How should the service desk handle a Microsoft 365 outage it cannot fix?
4 min read
Deploying AI is the easy part: who runs it once it goes live?
5 min read
How do I compare help desk tool pricing before rolling it out across several departments?
4 min read
Turning 'not helpful' into a fix
1 min read
When the author leaves, who owns the article?
2 min read
Test after every change, or find out from users
1 min read
Related articles
How should the service desk handle a Microsoft 365 outage it cannot fix?
Treat a supplier cloud outage as your own major incident: log it once, tell people early on a channel that still works, update on a rhythm and review your dependency afterwards.

Deploying AI is the easy part: who runs it once it goes live?
Only a third of large enterprises have met the business case for their main AI programme. New research points to a gap in who runs AI after launch, and what leaders can do.
How do I compare help desk tool pricing before rolling it out across several departments?
Compare help desk tools on a full year's cost for your real agents, approvers and requesters in every department, not on the headline monthly price.
Turning 'not helpful' into a fix
'Not helpful' is free, honest feedback, and most of it goes nowhere. Turn that click into a fix.
When the author leaves, who owns the article?
Articles keep being read after their authors move on. Make sure the care for them does not leave too.
Test after every change, or find out from users
Knowledge changes fail quietly. A short, repeatable test after every change finds the problem before your users do.
