Travel Analytics Blog

Reducing Mean Time to Resolution MTTR

Capacity planning

The majority of enterprise applications have a significant user base that is often globally distributed. Outages dramatically affect their productivity and satisfaction with the application service and reducing Mean Time to Resolution MTTR is often a key target for improving this. Different parts of the user community frequently use different networks segments, localised environments and work in different time zones.


There are three basic steps involved:

  • Detecting the problem, potentially before it impacts users or when its significance is low
  • Diagnosing the problem rapidly using detailed information to consistently narrow the search
  • Resolving and testing the problem has been fixed


Reducing the Mean Time to Resolution MTTR is a key objective of many operation groups with the desirable outcomes of improved stakeholder satisfaction and more time! In general problems that are left to escalate will have a much higher cost to the organisation. Triometric’s Enterprise Analyzer has the capability to generate alerts for operational teams to provide early warning.


Research has shown that for the majority of time taken in the Total Problem Resolution time is taken in identifying the root cause of the problem and the minority in actually fixing it. Using Enterprise Analyzer you can quickly identify where in the delivery chain or which components are causing or being affected by the problem leading to a significant reduction in the problem identification phase and hence the mean time to resolution MTTR.


The time taken to become aware of a problem depends on how good or proactive the monitoring system is. Proactive monitoring enables IT operations to view the bigger picture (network, server, applications) and to analyse the performance trends of those components, with a view to being able to identify future issues before they occur. Expanding application traffic with the impact on bandwidth need is a classic example.


Employee satisfaction is driven by the speed of MTTR that an organisation is able to achieve.  Although certain aspects of MTTR cannot be controlled, other factors affecting MTTR can be managed. These include maximising the first resolution contact rate and be able to route support technicians toward the issue in real time.


Once the problem has been resolved, Enterprise Analyzer can be used to confirm that the system is behaving normally for all users wherever they are located.

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