Dashboard
Overview
The Agent Performance Console gives you a clear, outcome-driven view of how your AI agents are performing across conversations, users, and business goals.
Topline Metrics & Charts
The top section of the dashboard surfaces your most important performance indicators at a glance. These metrics reflect overall AI activity, engagement, and response quality across your organization.
Topline Metrics
Metric tiles:
Each metric tile includes:
A tooltip with a clear definition
A trend indicator based on the selected timeframe
Metric tiles are interactive:
Selecting a tile updates the charts below to reflect trends for that specific metric
The total number of messages sent by users to your AI agents during the selected timeframe. This reflects overall AI usage and demand.
The total number of unique users who interacted with AI agents each day across the selected timeframe. A user is considered active if they send at least one message on a given day.
Quality Response Index relies on an LLM-based system that evaluates all AI agent responses, and outputs answers 2 yes/no questions:
Was the response relevant to the user’s question?
Did the response completely resolve the user’s question?
Final score logic per response:
If relevant AND complete → score = 1 (100% accurate and helpful)
If relevant AND not complete → score = .7 (good response, but room for improvement)
If not relevant OR no info found → score = 0 (not a quality response)
Timeframe and page-level filters apply only to this section, including:
Topline metric tiles
Agent breakdown charts
Metric trend charts
This allows you to analyze short-term fluctuations or long-term patterns without affecting agent-level summaries below.
Charts
Displays the selected metric broken down by individual AI agents, making it easy to compare performance across roles and responsibilities.
Shows how the selected metric changes over time. The x-axis automatically adjusts its intervals based on the selected timeframe.
Agents
Below the topline metrics, the dashboard shifts from system-wide performance to agent-level accountability.
Each AI agent is represented by a tile that summarizes how that agent is performing against its responsibilities.
Agent Tile Metrics
Each agent tile includes:
Inbound Messages for that agent
Daily Active Users interacting with that agent
Quality Response Index for that agent
Number of Objectives and Key Results
Number of active Campaigns deployed
Agent Tile Timeframe
Because OKRs are central to agent accountability, all agent tiles are displayed using each agent’s OKR year-to-date timeframe. OKR start dates are set to January 1, 2026 by default.
Each agent tile includes a button that takes you directly to that agent’s profile page. Agent profiles can also be accessed from the left-hand navigation.
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