Ctrlk
Click Here For More Support
For the complete documentation index, see llms.txt. This page is also available as Markdown.

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:

  1. Each metric tile includes:

  • A tooltip with a clear definition

  • A trend indicator based on the selected timeframe

  1. 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:

  1. Was the response relevant to the user’s question?

  2. Did the response completely resolve the user’s question?

Final score logic per response:

  1. If relevant AND complete → score = 1 (100% accurate and helpful)

  2. If relevant AND not complete → score = .7 (good response, but room for improvement)

  3. 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.

Last updated

Was this helpful?