Agent Analytics

The Monitor section gives you visibility into how your agent is performing. This page covers the Insights dashboard and the Sessions table.

Insights

The Insights dashboard provides a high-level view of agent performance over a configurable date range (default: last 30 days).

KPI Cards

Metric	Description
Sessions	Total number of conversations started.
Avg Duration	Average conversation length in seconds.
High Intent Sessions	Number of sessions where the visitor showed high buying intent. Click to jump to filtered Sessions view.

Each KPI shows a period-over-period comparison so you can track trends.

Visualizations

• Sessions over time -- Stacked bar chart showing conversations per day/week/month, broken down by intent level (high, medium, low, unscored).

• Intent breakdown -- Donut chart showing the distribution of buying intent across all conversations.

• Top content -- Ranked list of your most-recommended content sources with recommendation counts. Shows which demos, videos, and documents are resonating.

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Sessions

The Sessions tab shows every visitor conversation in a searchable, filterable table. The table auto-refreshes every 30 seconds to surface active conversations.

Session Data

Column	Description
Visitor	Name, email, role, company, and primary use case. A green pulse dot indicates an active (ongoing) session.
Messages	Total message count in the conversation.
Duration	How long the conversation lasted.
Credits	Credits consumed by this session.
Time	When the conversation occurred (relative time with absolute tooltip).
Intent	Buying intent score: High (green), Medium (yellow), or Low (gray).

Filters

Filter	Options
Search	Filter by visitor name or email.
Intent	All / High / Medium / Low
Status	All / Active / Ended
Duration	Any / Quick (< 2 min) / Short (2-10 min) / Engaged (10+ min)
Date range	Configurable, defaults to last 90 days.

Conversation Detail

Click any session row to view the full conversation detail, including:

• Complete message transcript (every visitor and agent message).

• Content recommendations the agent made during the conversation.

• Visitor information (name, email, company, role, use case).

• Session metadata (duration, device type, referrer, UTM parameters).

• Buying intent assessment and summary.

Knowledge Gaps

Knowledge Gaps surfaces questions your agent struggled with, detected automatically from conversation analysis. This is your improvement roadmap -- a continuous feedback loop between what visitors ask and what your knowledge base can answer.

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How It Works

After each conversation, the system analyzes the agent's responses to identify questions where it had insufficient content. Similar questions are grouped together under a normalized/canonical form so you see patterns, not noise.

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Active vs. Resolved

Tab	Description
Active	Gaps that need resolution. Shows a count badge.
Resolved	Previously addressed gaps. Shows a count badge.

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Gap Details

Each knowledge gap shows:

• Question -- The canonical form of what visitors asked (similar questions are grouped).

• Severity -- How badly the agent struggled:

  • Unanswered -- The agent had no relevant content at all.

  • Low Confidence -- The agent had some content but wasn't confident in its answer.

• Recommendation -- What to do about it:

  • Create a demo -- Build an interactive demo covering this topic.

  • Upload a document -- Add a PDF, deck, or case study that addresses it.

  • Add text context -- Write a text snippet with the missing information.

  • None -- No specific recommendation (may require custom judgment).

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Resolving Gaps

Each gap card includes a CTA that navigates directly to the relevant Knowledge Base tab:

1. Create a demo takes you to the Demos tab.

2. Upload a document takes you to the Documents tab.

3. Add text context takes you to the Text tab.

After adding the missing content, return to Knowledge Gaps and mark the gap as resolved.

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Best Practices

• Review weekly -- Check active gaps at least once a week to stay ahead of visitor needs.

• Prioritize by severity -- Address Unanswered gaps first, then Low Confidence.

• Watch for patterns -- Multiple gaps around the same topic area signal a significant content hole.

• Use Text for quick fixes -- While creating a demo or uploading a document is ideal, adding a Text snippet is the fastest way to close a gap.

• Track your readiness score -- As you resolve gaps and add content, your Agent Readiness score should climb. Aim for 80%+.