What You’ll Learn
- The difference between observability and simulation dashboards
- Common use cases and standard practices for each
- How to structure dashboards as your agent grows
Two Dashboard Surfaces
Observability Dashboards
Observability dashboards let you monitor your agent’s production performance and track how your customers behave over time as they interact with your agent. Common use cases:- Customer sentiment analysis — understand how customers feel about interactions and detect shifts in sentiment over time.
- A/B testing for agent releases — compare metrics across feature variants to decide which changes to keep.
- Production pass-rate monitoring — make sure key KPIs are maintained as your product grows and conversation volume scales.
Simulation Dashboards
Simulation dashboards help you validate that agents meet a quality bar before they ship, and verify that new features work as intended. Common use cases:- Pre-release quality gates — confirm that an agent reaches the required quality threshold before a production release.
- New-feature verification — validate that newly built functionality performs correctly across a range of test scenarios.
Next Steps
Simulation Dashboards
Track simulation performance and compare results across runs.
Observability Dashboards
Monitor production agent performance with live dashboards.
Alerts
Configure threshold-based notifications for production metrics.