Overview
The Analytics dashboard provides a comprehensive view of your incident management performance. Track key metrics like MTTA, MTTR, incident volume, and see whoβs currently on-callβall in one place.Real-time Metrics
Monitor current incident counts, response times, and escalation rates
Trend Analysis
Track performance trends over time with visual charts
On-Call Visibility
See whoβs currently on-call across all teams
Flexible Date Ranges
Analyze data across 7, 14, 30, or 90 day periods
Key Metrics
The dashboard displays five primary metrics at the top:| Metric | Description |
|---|---|
| Total Incidents | Total incidents in the selected period, with open count |
| MTTA | Mean Time to Acknowledge - average time from trigger to acknowledgment |
| MTTR | Mean Time to Resolve - average time from trigger to resolution |
| Escalation Rate | Percentage of incidents that required escalation |
| On-Call Today | Number of engineers currently on-call |
Understanding Trend Indicators
Each metric shows a trend indicator comparing to the previous period:- Time Metrics (MTTA/MTTR)
- Count Metrics
For response time metrics, lower is better:
- π’ Green (β) β Response times are improving
- π΄ Red (β) β Response times are getting worse
- β Gray (β) β No significant change
Incident Volume Chart
The stacked bar chart shows daily incident volume broken down by severity:| Severity | Color | Typical Impact |
|---|---|---|
| Critical | Red | Complete service outage |
| High | Orange | Major functionality impaired |
| Medium | Yellow | Limited impact |
| Low | Blue | Minimal impact |
Severity Distribution
The donut chart shows the proportion of incidents by severity level. This helps you understand:- Overall incident profile β Are most incidents low severity, or dealing with many critical issues?
- Severity trends β Compare distributions across different time periods
- Resource allocation β High critical/high ratios may indicate need for more senior responders
Monthly Trends
The line chart tracks two key metrics over the last 6 months:- Incident Count (left axis) β Monthly incident volume
- MTTR (right axis) β Average resolution time
This long-term view helps identify whether your incident response is improving over time or if seasonal patterns exist.
What to Look For
Improving Trend
Improving Trend
- Decreasing incident count over time
- Decreasing MTTR with stable or increasing incidents
- These indicate effective preventive measures and faster response
Concerning Patterns
Concerning Patterns
- Rising incident count month over month
- Increasing MTTR despite stable incidents
- Spikes that correlate with deployments or changes
Seasonal Patterns
Seasonal Patterns
- Recurring spikes at month-end (batch processing)
- Holiday period changes (reduced staffing)
- Quarterly patterns (traffic increases)
Currently On-Call
The on-call section shows all engineers currently on-call, including:- Name β Engineerβs full name
- Email β Contact email
- Team β Associated team (if applicable)
Using the Dashboard
Changing Date Range
Refreshing Data
Click the refresh button (β») next to the date selector to reload all data with the latest information.Best Practices
Review Weekly
Review Weekly
Check the analytics dashboard at least weekly during team standup or incident review meetings to track trends.
Set Baseline Targets
Set Baseline Targets
Establish target MTTA and MTTR values for your organization. Common targets:
- MTTA: < 5 minutes
- MTTR: < 1 hour for high severity
Investigate Anomalies
Investigate Anomalies
When you see spikes in the incident volume chart, drill down to understand the root cause.
Compare Periods
Compare Periods
Use different date ranges to compare performance: βAre we doing better this month than last month?β