Nine in ten major IT failures involve human error. Almost none involve carelessness — and the fix is more often the procedure than the person.
When something fails, most organisations fix the person. The data says the procedure is just as likely to be the problem.
A change goes through every stage. Requirement, design, testing, approval, release. Every step is signed. It goes to production and works. A month later it fails.
That sequence will be familiar to anyone who has run a change process. Nobody cut a corner. Nobody was careless. Every gate was passed by someone competent doing what the process asked. The outcome was still a failure, arriving late enough that the connection to the change was not obvious at first.
Then comes the review, and the finding is almost always the same, and almost always vague: update the procedures. Which procedures, updated how, and why they were wrong in the first place, rarely survives into the action log.
Most organisations, faced with a failure, do two things. Retrain the person. Reissue the document.
The Uptime Institute has been asking operators how human error actually contributes to their failures. The answers split into two groups, and they are not the same problem. One of them responds to retraining. The other gets worse when you try it.
If the people involved were competent and following the process, what exactly is failing?
Free, every other Friday. Issue 10 has the figure for how many failures operators say were preventable, the two causes that get treated as one problem, why a procedure that keeps getting skipped is telling you something, worked examples across change and release, finance operations, logistics, customer operations and maintenance, three questions to ask after the next failure, and an honest account of what this data does and does not show.
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