Analytics

Tier 1: Snapshot Overview (Top-Level Metrics)

These metrics form the “heartbeat” of the dashboard — glanceable and comparative.
Total Conversations (today / 7d)
Resolution Rate
Escalation Rate
Active Agents
Why: These KPIs let the user immediately sense whether the system is functioning as expected.

Tier 2: Temporal Trends (Performance Over Time)

The second tier allows users to investigate trends or anomalies over time:
Volume of conversations over time
Breakdown by resolution status
Filter by channel (voice/chat/email) or agent
Time comparison: week-over-week or month-over-month
Why: This serves ops leads looking to analyze spikes, drops, or friction patterns.

Tier 3: Agent-Level Performance (Table View)

Detailed view of agent behaviors and health, including:
Number of conversations handled per agent
Resolution/escalation rate by agent
Agent activity (last modified / last deployed)
Why: Enables deeper diagnostic insight — which agents are excelling, which need tuning?

Tier 4: Actionable Alerts / Insights (System Recommendations)

Automatically generated insights, such as:
“Agent A’s fallback rate increased 30%”
“Escalation volume doubled for voice channel yesterday”
Why: Encourages proactive issue resolution. These are high-attention alerts requiring review.

Tier 5: Quick Actions (Bottom or Sidebar Utility)

A set of frequent operations users might need:
Launch Agent Studio
Create New Agent
Tune Existing Agent
View Logs
Open Workflow Studio
Why: Ensures the dashboard isn’t just a reporting surface — it’s a control center.

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