What Is Mean Time to Resolution (MTTR)?
Definition
Mean Time to Resolution (MTTR) is the average amount of time it takes to fully resolve a customer support issue, measured from when the customer first submits the request to when the issue is confirmed as resolved, including all wait times, agent interactions, and escalations.
Mean Time to Resolution measures the total customer experience from initial contact to complete resolution. Unlike first response time (which measures speed of acknowledgment) or average handle time (which measures active work time), MTTR captures the full end-to-end duration including wait times between responses, escalation delays, and any back-and-forth required to fully resolve the issue.
MTTR is important because it reflects what the customer actually experiences. A ticket might have a fast first response time and short individual handle times, but if it bounces between three agents over four days, the MTTR is four days and the customer experience is poor. MTTR is the metric that catches these systemic inefficiencies.
Calculating MTTR requires defining what "resolved" means. The most reliable definition is when the customer confirms the issue is resolved (through a survey response or explicit confirmation) or when the ticket is closed after a defined period without further contact. Auto-closing tickets after inactivity can artificially deflate MTTR if the customer simply gave up rather than being resolved.
Several factors influence MTTR. First contact resolution rate directly impacts it — issues resolved on first contact have the lowest MTTR. Escalation quality matters — each escalation that requires the customer to re-explain their issue adds time. Agent knowledge and tooling affect how quickly issues are researched and resolved. And the inherent complexity of different issue types means MTTR should be segmented by category for meaningful analysis.
Improving MTTR requires addressing each bottleneck in the resolution pipeline. Reduce initial response delays through AI automation. Improve first contact resolution through better knowledge bases and agent training. Streamline escalations by preserving full context. Eliminate back-and-forth by asking comprehensive questions upfront. Each of these improvements compounds to reduce the total time customers spend waiting for resolution.
How to Measure & Implement
Calculate MTTR as: Total resolution time for all tickets / Number of tickets resolved. Measure in hours or days depending on your typical resolution cycle. B2B SaaS benchmarks: simple issues should resolve in under 4 hours, moderate issues in under 24 hours, and complex issues in under 72 hours. Track median MTTR (less skewed by outliers than mean) alongside the average. Segment by priority, category, channel, and whether AI was involved. Monitor the distribution — if your average is 8 hours but 20% of tickets take 48+ hours, those outliers need attention.
How Corebee Handles Mean Time to Resolution (MTTR)
Corebee drives down mean time to resolution through multiple mechanisms. The AI chatbot resolves routine questions in seconds, bringing MTTR for those issues close to zero. For escalated issues, the shared inbox provides agents with complete conversation history and relevant knowledge base articles, eliminating the research time that delays resolution. Conversation threading ensures no context is lost during handoffs, preventing the re-explanation loops that inflate MTTR.
Learn MoreRelated Terms
First Response Time
First response time (FRT) is the amount of time between when a customer submits a support request and when they receive the first meaningful reply from a support agent or AI system, excluding automated acknowledgment messages.
First Contact Resolution (FCR)
First Contact Resolution (FCR) is the percentage of customer support inquiries that are fully resolved during the initial interaction without requiring any follow-up contacts, transfers, or escalations, serving as a key indicator of support efficiency and customer satisfaction.
Average Handle Time (AHT)
Average Handle Time (AHT) is a customer support metric that measures the average total duration of a customer interaction, including the time spent actively communicating with the customer, any hold time, and post-interaction work such as note-taking and ticket documentation.
Service Level Agreement (SLA)
A Service Level Agreement (SLA) is a formal commitment between a service provider and a customer that defines the expected level of service, including specific metrics like response times, resolution times, and uptime guarantees, along with consequences if those commitments are not met.
Frequently Asked Questions
What is a good Mean Time to Resolution?
Good MTTR varies by issue complexity and channel. For B2B SaaS, aim for under 4 hours for simple questions, under 24 hours for moderate issues, and under 72 hours for complex problems. Chat-based support typically has lower MTTR than email. AI-handled conversations can achieve MTTR under 5 minutes. Track your MTTR by category and set category-specific targets rather than a single blanket goal.
How is MTTR different from Average Handle Time?
Average Handle Time measures the active time an agent spends working on an interaction. MTTR measures the total elapsed time from customer's initial request to final resolution. MTTR includes wait times between responses, escalation delays, and any period the ticket sits in a queue. A ticket with 15 minutes of total handle time might have an MTTR of 6 hours if there were gaps between responses.
What causes high MTTR?
Common causes of high MTTR include long wait times between responses (staffing gaps or poor queue management), multiple escalations without context preservation (customer re-explains the issue each time), back-and-forth messages to gather information that should have been collected upfront, lack of agent knowledge requiring extended research, and dependencies on other teams (engineering, billing) that introduce delays.
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