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Mean Time To Resolve Formula

MTTR Formula:

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

hours
count

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1. What is Mean Time To Resolve (MTTR)?

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's 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 time it takes to resolve each incident, providing insight into team efficiency and response effectiveness.

3. Importance of MTTR Calculation

Details: MTTR is crucial for measuring service quality, identifying improvement areas, setting performance benchmarks, and optimizing resource allocation in incident management processes.

4. Using the Calculator

Tips: Enter total resolution time in hours and number of incidents as a count. Both values must be positive numbers (resolution time > 0, incidents ≥ 1).

5. Frequently Asked Questions (FAQ)

Q1: What is considered a good MTTR value?
A: Good MTTR varies by industry and incident severity. Generally, lower MTTR indicates better efficiency, but context matters based on incident complexity.

Q2: How does MTTR differ from MTBF and MTTF?
A: MTTR measures resolution time, MTBF (Mean Time Between Failures) measures reliability between failures, and MTTF (Mean Time To Failure) measures expected operational life.

Q3: What factors can affect MTTR?
A: Team expertise, documentation quality, tool availability, incident complexity, and communication efficiency all impact MTTR.

Q4: How can we improve MTTR?
A: Implement better monitoring, create knowledge bases, streamline escalation procedures, provide training, and automate repetitive tasks.

Q5: Should MTTR be tracked for all incident types?
A: It's valuable to track MTTR by incident severity and type to identify specific improvement opportunities and set realistic expectations.

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