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How To Calculate Mean Time To Resolve

MTTR Formula:

\[ MTTR = \frac{\text{Total Resolution Time}}{\text{Number of Incidents}} \]

hours
number

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1. What Is Mean Time To Resolve?

Mean Time To Resolve (MTTR) is a key performance indicator that measures the average time required to resolve incidents or issues from detection to complete resolution. It is widely used in IT service management, maintenance operations, and customer support to track efficiency.

2. How Does The Calculator Work?

The calculator uses the MTTR formula:

\[ MTTR = \frac{\text{Total Resolution Time}}{\text{Number of Incidents}} \]

Where:

Explanation: This formula calculates the average resolution time across all incidents, providing insight into operational efficiency and response capabilities.

3. Importance Of MTTR Calculation

Details: MTTR is crucial for assessing service quality, identifying improvement areas, setting SLAs, and optimizing resource allocation. Lower MTTR values indicate faster problem resolution and better service delivery.

4. Using The Calculator

Tips: Enter total resolution time in hours and number of incidents as whole numbers. Ensure accurate time tracking for meaningful results.

5. Frequently Asked Questions (FAQ)

Q1: What is considered a good MTTR?
A: Good MTTR varies by industry and incident severity. Generally, lower is better, but it should be balanced with resolution quality.

Q2: How does MTTR differ from MTBF?
A: MTTR measures resolution time after failure, while MTBF (Mean Time Between Failures) measures time between consecutive failures.

Q3: What factors affect MTTR?
A: Team expertise, available resources, incident complexity, communication efficiency, and tooling all impact MTTR.

Q4: Should MTTR include detection time?
A: Typically, MTTR starts from incident detection. Some organizations may define it differently based on their processes.

Q5: How can we improve MTTR?
A: Through better monitoring, streamlined processes, enhanced training, improved documentation, and effective escalation procedures.

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