Overview
Metric measuring percentage of customer issues resolved in a single interaction.
Why it matters
Low FCR indicates agents can't handle complex requests effectively.
How it works
First Call Resolution (FCR) works by processing voice data through multiple stages of the AI pipeline, from recognition through understanding to response generation.
Common issues
Organizations implementing First Call Resolution (FCR) frequently encounter configuration challenges, edge case handling, and maintaining consistency across different caller scenarios. Issues often arise from inadequate testing, poor prompt engineering, or misaligned expectations. Automated testing and monitoring can help identify these issues before they impact production callers.
Implementation guide
Optimize FCR using Hamming's methodology: test complete task flows end-to-end, validate information accuracy, ensure proper error handling, and monitor resolution patterns.
Hamming's benchmarks
Drawing on Hamming's 10M+ mins protected across 10K+ voice agents:
| Metric | Excellent | Good | Acceptable |
|---|---|---|---|
| First Call Resolution | >90% | >80% | >70% |