Analytics Suite
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What is the Analytics Suite for? The Analytics Suite is where you see how your agents are actually performing: not just whether conversations are happening, but whether they’re going well. It combines usage statistics with qualitative signals, so you can evaluate both the efficiency of conversations and the outcomes they generate. You can view data across the whole project or drill down to a specific agent or user. |
Filters
The filter bar at the top of the Analytics Suite controls the data shown in every card below it.
From / To |
Set a custom start and end point for the data, including the time of day. Pick the day and time in the picker, or type the value straight into the field in the |
Time Period |
Choose a preset range, from Last 15 minutes up to All time, instead of setting the dates by hand. Adjusting From or To switches this to Custom. |
Select Agent |
View data for all agents, or narrow it down to specific agents and versions. See Agent and Version Selection. |
Filter by User |
View data across all users, or filter by a specific one. Use the search field to find a user. |
Export data |
Download the currently filtered data as Excel (.xlsx), CSV (.zip), or JSON (.json). |
Agent and Version Selection
Select Agent opens the Agents version selection panel: agents on the left, the versions of the selected agent on the right. The number of selected versions is shown in the top-right corner of the panel, and each agent in the list shows how many of its versions are selected.
By default All Agents is selected, which includes every version of every agent.
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To analyse specific versions, first click All Agents to clear the selection. Then choose an agent on the left and toggle the versions you want on the right. Otherwise, everything stays selected. |
Use All drafts to select every draft version of the chosen agent at once, and Clear drafts to remove them again. Use the Search agents field to find an agent in a long list.
The button itself reflects the current selection: All Agents, a single agent version, or the number of selected agent versions.
Core Metrics
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Conversations – visualises the conversational throughput of all sessions by length (short, medium, long) with lifetime totals.
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Unique Users – the number of distinct users in the selected period, with a chart of unique users over time and a lifetime total.
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Total Conversation Length – cumulative duration of all conversations.
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Average Conversation Length – average duration per conversation.
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Average Turns per Session – average number of interaction turns within a session.
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Relational Metrics – qualitative measures such as interaction style matching, relationship building, user engagement, empowerment, and task resolution.
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Business Metrics – purpose fulfillment rate and business process adherence.
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Evaluation Metrics – results from evaluations run across conversations. Filter by evaluation type and view all evaluations or select a specific one.
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Interactive Content Metrics – counts of structured actions such as forms filled, images displayed, or web views opened.
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Conversations – a table listing individual conversations and a summary of the interaction.
Cards that show a green or red percentage chip compare the selected period with the period of the same length immediately before it. Hover over the chip to see the exact comparison range.
These metrics allow product teams to continuously improve agents: reducing drop-off, shortening resolution times, and optimising relational quality. They also provide evidence for business leaders on how relational intelligence contributes directly to KPIs like customer satisfaction, efficiency, and conversion.