The Observation dashboard is the primary interface for monitoring AI agent activity in production. It provides a consolidated view of conversation quality, volume, and risk across a configurable time window, combining high-level KPI widgets with a filterable conversation table that links directly to individual session reviews.

Navigate to:
AI Data Fusion > Observation
The dashboard loads with the Last 7 Days time window selected by default.
The dashboard is organized in four areas, top to bottom:
The header bar displays the title Conversation Analytics alongside a set of inline summary indicators that give an immediate at-a-glance view of the selected period:
The duration filter is on the right side of the header bar.
The duration filter controls the time window for all widgets and the conversation table simultaneously.
Changing the duration refreshes all widgets and the conversation table without reloading the page.
Four info cards are displayed side by side, each showing an average for the selected period:
Each card's query is configurable. See Configuring Observation for how to add or modify widgets.
Chart widgets are displayed in a 2 or 3 grid (depending on width and screen resolution), covering the key dimensions of conversation quality and cost.
Below are the default widgets:
Top Conversation Topics - Bar chart ranking topics by session count. Reveals which subjects drive the most volume (e.g., Billing Inquiry, Account Update, Technical Support).
Customer Sentiment - Pie chart showing the split between Positive, Neutral, and Negative conversations. Gives an immediate read on overall customer experience.
Conversation Volume Over Time - Line chart of daily session count. Highlights traffic patterns, spikes after deployments, and quiet periods.
Satisfaction Trend (%) - Line chart of satisfaction percentage over time. Use this to track whether quality is improving or declining following agent changes.
Resolution Pathway - Bar chart showing how far conversations progress through the resolution stages (Initial Contact → Issue Identified → Solution Provided → Customer Engagement → Resolution Achieved). Identifies where conversations tend to drop off.
Token Consumption - Bar chart of input, cache and output token usage over time. Use for cost tracking and detecting unusual consumption spikes.
All widgets are configurable. See Configuring Observation for how to add, modify, or replace widgets.
The Conversation Details table lists individual sessions for the selected period. A filter dropdown above the table narrows the list by conversation type.
Click the Export List button above the conversation table to download the current view (respecting the active duration and filter) as a file. Use this for reporting, sharing with stakeholders, or loading into external analytics tools.
Click any row in the conversation table to open the Conversation Review page for that session. The review page shows the full message history, auto-tags, user feedback, and execution trace.
Next article: Conversation Review
The Observation dashboard is the primary interface for monitoring AI agent activity in production. It provides a consolidated view of conversation quality, volume, and risk across a configurable time window, combining high-level KPI widgets with a filterable conversation table that links directly to individual session reviews.

Navigate to:
AI Data Fusion > Observation
The dashboard loads with the Last 7 Days time window selected by default.
The dashboard is organized in four areas, top to bottom:
The header bar displays the title Conversation Analytics alongside a set of inline summary indicators that give an immediate at-a-glance view of the selected period:
The duration filter is on the right side of the header bar.
The duration filter controls the time window for all widgets and the conversation table simultaneously.
Changing the duration refreshes all widgets and the conversation table without reloading the page.
Four info cards are displayed side by side, each showing an average for the selected period:
Each card's query is configurable. See Configuring Observation for how to add or modify widgets.
Chart widgets are displayed in a 2 or 3 grid (depending on width and screen resolution), covering the key dimensions of conversation quality and cost.
Below are the default widgets:
Top Conversation Topics - Bar chart ranking topics by session count. Reveals which subjects drive the most volume (e.g., Billing Inquiry, Account Update, Technical Support).
Customer Sentiment - Pie chart showing the split between Positive, Neutral, and Negative conversations. Gives an immediate read on overall customer experience.
Conversation Volume Over Time - Line chart of daily session count. Highlights traffic patterns, spikes after deployments, and quiet periods.
Satisfaction Trend (%) - Line chart of satisfaction percentage over time. Use this to track whether quality is improving or declining following agent changes.
Resolution Pathway - Bar chart showing how far conversations progress through the resolution stages (Initial Contact → Issue Identified → Solution Provided → Customer Engagement → Resolution Achieved). Identifies where conversations tend to drop off.
Token Consumption - Bar chart of input, cache and output token usage over time. Use for cost tracking and detecting unusual consumption spikes.
All widgets are configurable. See Configuring Observation for how to add, modify, or replace widgets.
The Conversation Details table lists individual sessions for the selected period. A filter dropdown above the table narrows the list by conversation type.
Click the Export List button above the conversation table to download the current view (respecting the active duration and filter) as a file. Use this for reporting, sharing with stakeholders, or loading into external analytics tools.
Click any row in the conversation table to open the Conversation Review page for that session. The review page shows the full message history, auto-tags, user feedback, and execution trace.
Next article: Conversation Review