Audience
- Managers reviewing call performance
- Operators validating trends and quality outcomes
Prerequisites
- Access to analytics view
- Sufficient historical call activity for meaningful trends
What analytics typically show
- Call volume and distribution patterns
- Outcome/performance indicators from completed interactions
- Quality/coverage signals based on available data
Data latency and coverage expectations
- Some metrics may lag behind real-time operations.
- Recent calls may appear in logs before analytics aggregates update.
- Low-volume workspaces may show sparse or noisy trends.
Interpretation guidance
- Use trends over single-point snapshots.
- Compare like-for-like time windows when diagnosing changes.
- Pair analytics insights with call log spot checks for root-cause analysis.
Data caveats
- Missing/partial data can affect metric confidence.
- Feature enablement (recording/transcript/config) influences available analytics depth.
- Subscription/workspace context can affect visibility of some analytics surfaces.
Troubleshooting
Analytics appears empty
- Confirm date range and workspace selection.
- Verify there were completed calls in that period.
- Wait for aggregation delay and refresh.
Numbers differ from call logs
- Confirm same time window and timezone are used.
- Check if logs are near-real-time while analytics is batched.

