Analysis reportJuly 1, 2026
Call Center KPI Dashboard
- Source
- sample-data.csv · 9 rows
Service level
82%
+3.0ppAvg. handle time
6m 12s
-18sFirst-call resolution
74%
+2.1ppCSAT
4.4 / 5
+0.1Call volume by hour
Sample data — yesterday
Call Center KPI dashboard
Call-center metrics are famously gameable — AHT pressure creates transfers, service-level worship creates abandonment blindness. The dashboard below pairs each efficiency metric with the quality metric that keeps it honest.
Live render with sample data — upload your own export and this structure regenerates from your numbers, with the computation attached to every figure.
The call center KPIs that matter, defined
- Service level
- Share of calls answered within the target threshold (classically 80% in 20 seconds). Staffing correctness in one number.
- Calls answered in threshold ÷ Calls offered × 100
- Average handle time (AHT)
- Talk + hold + after-call work. Manage the outliers and the drivers, not the average — AHT pressure alone just creates callbacks.
- First-call resolution (FCR)
- Issues resolved without a follow-up contact. The best single quality metric, and AHT's honest partner.
- Resolved first contact ÷ Total contacts × 100
- Abandonment rate
- Callers who hang up before an agent answers. Rises before service level shows the problem.
- Abandoned ÷ Offered × 100
- Customer satisfaction (CSAT)
- Post-contact rating. Track alongside FCR per queue to find broken processes rather than "bad agents".
Frequently Asked Questions
Everything you need to know about using AnalyzeData.
Service level with abandonment, AHT with FCR, and CSAT — efficiency metrics always paired with the quality metric that prevents gaming them.
Export the interval or call-detail report from your platform as CSV, upload, and ask for the daily ops review. Interval math computes from the raw rows.
It is the classic staffing target: 80% of calls answered within 20 seconds. Service level is calls answered inside a threshold divided by calls offered, and 80/20 is the long-standing convention, though you can set your own threshold. It captures staffing correctness in one number, but read it with abandonment rate, which tends to rise before service level reveals a problem.
Because AHT pressure alone just moves work, it does not solve it. Squeeze handle time and agents rush, skip resolution, and create callbacks or transfers that cost more than the seconds saved. Pair AHT with first-call resolution, issues resolved without a follow-up contact, which is its honest partner and the best single quality metric. Manage the outliers and the drivers of AHT, not the average for its own sake.
Build your call center KPI dashboard
Upload the export you already have — the dashboard computes itself, verifiably.
Open the workspace