Uptime remains an important technology measure.
Employees and customers expect systems to be available, and significant outages deserve executive attention.
Yet an application can report excellent uptime while users experience poor performance, failed transactions, intermittent integrations, or lengthy support delays.
CIOs need measures that reflect service quality more completely.
Availability Does Not Equal Usability
A system may technically be online while pages load slowly or important functions fail.
Technology teams should consider performance and transaction success alongside availability.
Measure User Impact
An outage affecting a rarely used internal application is different from an outage affecting order processing during peak business hours.
Measures should incorporate business impact where practical.
Track Recurring Incidents
A series of small incidents can create more disruption than one visible outage.
CIOs should identify systems with repeated performance problems even when each incident remains below major-incident thresholds.
Examine Recovery Performance
Mean time to restore service can reveal how effectively IT responds when failures occur.
Teams should also understand whether recovery requires excessive manual intervention or specialized knowledge held by only a few employees.
Include Support Experience
Technology service includes the response users receive when something goes wrong.
Ticket resolution time, repeated tickets, escalation rates, and user satisfaction can provide useful information.
Connect Measures to Business Processes
Technical measures become more meaningful when associated with the processes they support.
Order processing, manufacturing, customer service, payroll, and financial close each have different tolerance for disruption.
Metrics Should Help Set Priorities
The purpose of operational measurement is not to produce a larger dashboard.
CIOs should select measures that help identify where investment, process changes, or technical improvements are needed.
Uptime remains valuable, but it should be one part of a broader view of technology reliability.


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