MTTR Too High
Why incident response is slow-and how to fix it
40 min
Average MTTR for most teams
15-30 min
Time spent finding incidents
$5,600
Cost per minute of downtime (enterprise)
Why MTTR Matters
Mean Time To Resolution (MTTR) is the average time from when an incident starts to when it's resolved. It's one of the most important metrics for operational teams.
High MTTR hurts your business: - Customer trust erodes with every minute of downtime - Revenue loss during outages (average enterprise: $5,600/minute) - Engineering time spent firefighting instead of building - Stress and burnout for on-call teams
The goal isn't zero incidents-it's fast, effective response.
The Anatomy of Slow Response
MTTR breaks down into four phases. Understanding where time is lost helps target improvements:
MTTD (Mean Time To Detect): 5-15 minutes How long until someone knows there's a problem? Slow detection = delayed response.
MTTI (Mean Time To Identify): 10-30 minutes How long to understand WHAT the problem is? Context switching, searching logs, correlating events.
MTTR (Mean Time To Resolve): 15-60+ minutes How long to actually fix it? This depends on having the right context and runbooks.
For most teams, 50-70% of MTTR is spent on detection and identification-not actually fixing problems.
Common Causes of High MTTR
1. Fragmented tooling Information is scattered across Slack, PagerDuty, Datadog, Sentry, GitHub, and 10 other tools. Engineers spend 15-30 minutes just piecing together what happened.
2. Lack of context Alerts tell you WHAT happened but not WHY. Without context (recent deployments, related changes, affected services), diagnosis takes longer.
3. No correlation between events A deployment, an error spike, and a customer complaint are obviously related-but they appear in three different tools with no connection.
4. Knowledge silos Only one person knows how this service works. If they're not on call, resolution waits for morning.
5. Poor runbook discipline No documented procedures for common issues. Every incident is solved from scratch.
6. Alert fatigue When 95% of alerts are noise, teams ignore or deprioritize even real incidents.
Proven Strategies to Reduce MTTR
1. Centralize operational intelligence Consolidate events from all tools into a single, searchable timeline. When an incident hits, everything you need is in one place.
2. Automate correlation Connect deployments → errors → incidents automatically. If a deployment preceded an error spike, surface that connection immediately.
3. Build a knowledge base Document runbooks for common issues. Link alerts to relevant documentation. Make tribal knowledge accessible.
4. Invest in detection Catch issues before customers report them. Anomaly detection, synthetic monitoring, and real-time dashboards reduce MTTD.
5. Practice incident response Run game days. Practice makes response automatic. Teams that drill quarterly have 40% faster MTTR.
6. Post-incident learning Every incident should make you faster next time. Capture what worked, what didn't, and update runbooks accordingly.
How OpsBrief Helps
- Centralizes events from 15+ tools into a unified timeline
- AI automatically correlates deployments, errors, and incidents
- Daily briefs ensure teams start with full operational context
- Searchable history for instant access to past incidents
- Cross-team visibility reduces knowledge silos
Teams using OpsBrief reduce MTTR by 70% through better context and faster identification.