Agent Profiles
Agent Profiles give you a deep, focused view of how each AI agent is performing against its goals. This is where activity turns into accountability, showing not just what an agent is doing, but whether it’s delivering outcomes that matter.
Each profile is organized around three core areas:
Topline performance metrics
Objectives & Key Results (OKRs)
Campaign execution and impact
Agent Profiles are centered on Objectives and Key Results (OKRs), so the entire page is locked to the agent’s OKR year-to-date timeframe. This ensures performance is always evaluated consistently against annual goals, not short-term fluctuations.
Topline Metric Tiles
Each agent profile displays the same three topline metrics shown on the main dashboard, scoped specifically to that agent:
Inbound Messages
Daily Active Users
Quality Response Rate
Each metric includes:
A trend comparison of the last 7 days vs. the previous 7 days
Visual indicators to quickly spot improvements or declines
Objectives & Key Results (OKRs)
OKRs are the foundation of agent accountability in the Console. Each agent is measured against industry-benchmarked objectives that reflect real business outcomes, not arbitrary activity metrics.
These benchmarks are based on patterns and performance standards observed across similar organizations and verticals.
Objectives answer the question: What is this agent responsible for achieving?
Each Objective summary includes:
Number of active campaigns contributing to that objective
Key Results performance summary, showing how many KRs are on target vs. total KRs
Each Objective can be expanded to reveal its underlying Key Results.
Key Results define how success is measured for that objective and are displayed with:
Target statement (what “success” looks like)
Current value
Progress indicator, based on the KR type
Status traffic light, indicating:
Exceeding Target
On Target
At Risk
Below Target
Understanding KR Progress
Not all KRs behave the same way. The Console accounts for this by visualizing progress appropriately:
Rate-based KRs Examples: Quality Response Rate, Positive Feedback Rate
These may fluctuate throughout the year
Display a 30-day trend comparison, similar to topline metrics
Cumulative KRs Examples: Revenue-driving conversations, customer preference data collected
These increase over time
Display a progress bar toward the annual target
When projecting status for cumulative KRs, the Console accounts for seasonality and industry patterns.
See the Full Library of Key Results with definitions and examples here.
Campaigns
Agent Campaigns are structured, AI-driven missions assigned to individual agents that align behavior with strategic business outcomes. They let you activate those focused missions based on what your business needs right now — and measure whether they’re delivering results. They are the 'why & what', guided by measurable Key Results.
Agent Profile displays Campaigns summarizing active and completed campaigns tied to that agent.
Each campaign provides a snapshot of it's performance.
Campaign Details
Selecting Campaign Details opens a detailed view that includes:
Campaign description and goals
Journey workflows
Linked Key Results
Integrations and data sources
Campaigns show how objectives are being activated in practice and whether those efforts are delivering measurable results.
You can set up your own campaigns based on your business needs.
Agent Chat
In your Console you can chat with your AI agent about their performance as if you’re talking with your employee about their job. This is designed to specifically provide you feedback on how the agent is working relative to its objectives and key results.
Agent Chat supports a wide range of performance-focused questions, including:
Summaries of agent performance and trends
OKR and KR status explanations
Revenue and conversion insights
Topic-level performance and trends
Recommendations for improvement
Sample questions include:
How’s progress on my OKRs?
What topics are trending?
Where are we underperforming?
How do you make me money?
Why is this KR low?
How can we improve this objective?
What conversations generate the most revenue?
How do you calculate this KR?
Agent Chat turns performance data into conversations—making it easier to understand what’s happening and what to do next.
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