Test after every change, or find out from users
· 1 min read
Knowledge changes fail quietly. A short, repeatable test after every change finds the problem before your users do.
In brief
Someone changes a search setting on Friday afternoon. On Monday the service desk is busy, and nobody connects the two. Self-service tends to fail quietly. There is no error message and no outage alert. People just search, find nothing useful, and pick up the phone instead. Saying you will hear about it if it breaks does not work for knowledge. You will not hear about it. You will see it weeks later as a rise in calls nobody can explain. Full testing after every small change feels heavy. Skipping it feels fine, right up until it is not. This article argues that the answer is not a big test plan. It is a short one you actually run: five minutes, and the same handful of checks every time something changes. A quick start test can be as simple as searching for your five most common questions and checking that the right answers come first, opening an article on a phone, trying the search as someone outside IT, and submitting feedback to check it lands with a person. Write the checks down, give them a name, and run them after every change, however small. The goal is simple: you find the problem before your users do.
Someone changes a search setting on Friday afternoon. On Monday the service desk is busy, and nobody connects the two.
Self-service tends to fail quietly. No error message. No outage alert. People just search, find nothing useful, and pick up the phone instead.
That is why "we will hear about it if it breaks" does not work for knowledge. You will not hear about it. You will see it weeks later as a rise in calls nobody can explain.
A short test you actually run
The tension is real. Full testing after every small change feels heavy. Skipping it feels fine, right up until it is not.
The answer is not a big test plan. It is a short one you actually run. Five minutes. The same handful of checks every time something changes.
A quick start test could be as simple as:
- Search for your five most common questions. Do the right answers come first?
- Open an article on a phone.
- Try it as someone outside IT.
- Submit feedback and check it lands with a person.
Write the checks down. Give them a name. Run them after every change, however small. The goal is simple: you find the problem before your users do.
Next step
Do you test knowledge after changes, or wait for the phone to ring? 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
Designing a knowledge portal people want to use
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.
Designing a knowledge portal people want to use
Most knowledge portals are built for the people who run them, not the people who arrive with a problem.
