Analytics & Monitoring
Agently’s analytics system provides real-time visibility into agent performance, usage patterns, and conversational outcomes. Every agent—whether Prebuilt, Custom, or Marketplace—generates rich data that helps teams understand what’s working, where users drop off, and how AI behavior aligns with business objectives.
Analytics ensures AI agents are not static systems—they’re measurable, optimizable, and accountable.
Key Insights Tracked
Interaction Volume Track how often agents are engaged across each deployment channel. This includes conversation count, unique users, and time-based usage trends.
Response Accuracy & Confidence Agently logs system-level confidence in each response, especially those tied to custom data. Low-confidence or fallback-triggering responses are flagged for review.
Sentiment Trends Monitor user sentiment across conversations, measured in real time using natural language tone detection. View:
Positive, neutral, or negative sentiment breakdowns
Sentiment shifts over time
Emotional response maps tied to specific intents or flows
Drop-off correlations with negative sentiment spikes This enables teams to tune not just what the agent says, but how it makes people feel—improving satisfaction and trust.
Engagement Flow See where users drop off, escalate, rephrase, or reengage. Identify moments of friction or success across multistep conversations and logic paths.
Tool Execution Logs For agents with tooling enabled, monitor successful tool usage, failed attempts, and system-triggered fallbacks. Each tool run includes a timestamp, input context, and outcome status.
Top Queries & Intents View the most frequently asked questions or invoked tasks. Use this to refine tone, expand knowledge coverage, or restructure flows.
Fallback & Escalation Rates Analyze how often the agent fails to answer, triggers fallback messaging, or escalates to human intervention. These insights are critical for improving reliability and user trust.
Channel-Specific Performance Segment analytics by deployment type—e.g., live chat, Slack, Telegram, embedded, API—to understand where your agents perform best and where they require optimization.
Dashboard Features
Searchable Interaction Logs Dive into full transcripts with timestamps, user IDs (when applicable), and annotated events like tool execution, fallbacks, or memory calls.
Version-Based Reporting Analytics are segmented by agent version, allowing you to compare performance over time and A/B test updates with measurable confidence.
Downloadable Reports Export data for internal review, compliance, or broader team reporting. CSV and PDF formats are available for all key views.
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