Basic Dashboard

The Basic Dashboard is the default landing view with six core visualizations providing immediate operational overview.

1. Header & Time Filter

Figure 1 — Basic Dashboard header: timezone display and time period filter

1. 1 Timezone Indicator

A notice dynamically displays the user’s browser timezone (e.g., "America/Los_Angeles"), ensuring transparency in how all timestamps are rendered.

1.2 Time Period Filter

Option	Description
Last 7 Days	Rolling 7-day window for short-term trend monitoring and weekly reviews.
Last 30 Days	Rolling 30-day window for monthly performance reviews and executive reporting.

2. Conversations Count by Assistant

A treemap chart displaying conversation volume distributed across all active assistants. Rectangle size is proportional to conversation count.

Figure 2 — Conversations Count by Assistant: treemap with summary KPIs

Hovering reveals assistant name, exact count, and share percentage (e.g., Hello: Count 29, Share 35.8%). The chart supports scroll-to-zoom, drag-to-pan, and Reset Zoom.

2.1 Summary KPI Bar

KPI	Sample Value	Definition	Business Use
Total Services	29	Unique assistants with conversations.	Deployment breadth.
Total Count	81	Sum of all conversations.	Aggregate volume.
Top Service	Hello	Highest-volume assistant.	Resource planning.
Top Count	29	Top assistant’s count.	Usage concentration.

Metric Reference: Basic Tier Metrics #1 and #6. "Services" = "Assistants" throughout the platform.

3. Containment Rate by Date

A bar chart tracking daily containment rate (%). Containment = conversations resolved without transfer to a live agent.

Figure 3 — Containment Rate by Date with hover tooltip

Formula: (Total Conversations – Transferred) / Total Conversations × 100. Tooltip shows Day, Rate, and Total count.

Business Value: The most critical KPI in conversational AI. High rates = effective resolution, lower costs. Declining rates signal flow issues or unhandled intents requiring immediate investigation.

4. Conversations Count by Channel

A line chart showing daily conversation volume by communication channel, with circular data point markers at each day.

Figure 4 — Conversations Count by Channel: daily volume trend

Business Value: Reveals channel traffic distribution, identifies underutilized channels, and supports capacity planning. Volume spikes signal outages or campaigns; drops suggest migration or reduced engagement.

5. Conversations Count by Connection Disposition

A bar chart showing daily conversation volume grouped by how each connection was terminated.

Figure 5 — Conversations Count by Connection Disposition

Disposition	Meaning
Timeout	Session timed out due to user inactivity.
UserDisconnect	User actively ended the conversation.
AppDisconnect	Application terminated after flow completion.
Error	Connection lost due to system error or network failure.

6. Assistant Activity Trends

An area chart tracking the number of unique active assistants per day — measures deployment breadth, not conversation volume.

Figure 6 — Assistant Activity Trends: daily unique active assistant count

Business Value: Increasing trends indicate growing platform adoption. Declining trends may signal consolidation. Helps identify unexpectedly inactive assistants.

7. Average Conversation Duration by Channel

A line chart displaying average conversation length in seconds, daily, segmented by channel.

Figure 7 — Avg Conversation Duration by Channel

Business Value: Critical for cost optimization (voice = telephony costs) and UX management. Spikes suggest complex flows or system delays; very short durations may indicate failures.

8. Average Conversation Duration by Assistant

A multi-series line chart comparing duration across all assistants with a filterable legend (Select All / Deselect All).

Figure 10 — Avg Conversation Duration by Assistant: filterable comparison

Business Value: Identifies duration outliers per assistant. Consistently high durations suggest overly complex flows; short durations may indicate early failures. Essential for A/B testing and flow optimization.