# Conversations List — Tabular Performance Summary The Conversations List is the tabular sub-view within the Service-Disposition workbook. It provides a structured, per-assistant breakdown of key performance metrics across the selected date range, with daily granularity and subtotals per assistant and a Grand Total row.

*Figure 1: Conversations List — Per-Assistant Daily Performance Metrics (with hover tooltip)*

### 1. Table Structure The table is organized with one row per assistant per active day. Each assistant section ends with a bold “Total” subtotal row. The Grand Total row at the bottom summarizes all assistants across all days.


Column	Description
Assistant	The full name of the AI assistant. Names shown include: 001_SMOKETEST_STG: CNX Airliner_STG, 001_SMOKETEST: CNX Airliner_STG, 002_SMOKETEST: DTMF_SLOT & TRANSFER_STG, 004_SMOKETEST: MENU_NODE_MEMORY_IDENTIFIER_STG, 012A_SMOKETEST_MATRIX_BAR..., DEMO AAA Premier Auto_STG, GCM 2026 - Order Exchange_STG, Rona Lowe’s Demo IVR_STG, Smoke Test_STG.
Day of Conversation Date	The specific date of activity for this assistant.
ContainmentRate	The percentage of conversations handled by the assistant without transfer. Grand Total: 92.59%, indicating that across all 27 conversations, 92.59% were contained within the AI platform.
Resolved Rate	The percentage of conversations where the user’s issue was fully resolved. Shown as 0.00% across all assistants — indicating that in this STG dataset, no conversations were marked as resolved. This field requires specific resolution tracking to be configured in the assistant flow.
Abandon Rate	Percentage of conversations abandoned by the user before reaching a conclusion. Shown as 0.00% in this dataset.
Caller Success Rate	The percentage of conversations where the caller (user) achieved a successful outcome as measured by the system. Shown as 0.00% in this dataset, distinct from the Assistant Disposition “Success” which is internally set by the assistant.
Conversations	Absolute conversation count. Grand Total: 27 across all assistants and dates.
Total Duration (secs)	Cumulative conversation duration in seconds. Grand Total: 11,874 seconds across all 27 conversations. Individual assistant totals: Smoke Test_STG — 4,293 secs (3 conversations); 001_SMOKETEST_STG: CNX Airliner_STG — 2,548 secs (11 conversations).

### 2. Hover Tooltip The visible hover tooltip in the screenshot shows: Assistant: 001\_SMOKETEST\_STG: CNX Airliner\_STG | Date: Thu, 3/26/26 | Resolved Rate: 0.00%. This confirms that hovering on any cell reveals the assistant name, date, and the specific metric value for that intersection — useful when the table is dense and specific values are hard to read inline. ### 3. Grand Total Analysis Grand Total row data: Containment Rate 92.59% | Resolved Rate 0.00% | Abandon Rate 0.00% | Caller Success Rate 0.00% | Conversations 27 | Total Duration 11,874 secs The 92.59% Grand Total Containment Rate means that 25 out of 27 conversations were handled without a transfer (with 2 conversations involving transfers, consistent with the Conversations by Disposition data showing Transfer = 1 with an average of 1–2 occurring). The 0.00% Resolved Rate and Caller Success Rate reflect the fact that these metrics require specific flow-level configuration to register values — they are not automatically derived. In a fully configured production environment, these fields provide valuable outcome tracking beyond basic containment. ### 4. Business Value The Conversations List is the go-to view for assistant-level performance benchmarking. It enables direct side-by-side comparison of multiple assistants on a consistent set of KPIs. Portfolio managers can use this view to identify which assistants have the lowest containment rates (requiring flow improvements), which have the longest average durations (suggesting complexity issues), and which generate the most volume (prioritizing optimization effort). The subtotal structure allows both per-assistant review and overall platform assessment in a single view. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.ixhello.com/ix-hello-reporting/premium-reporting/total-conversations-with-contained-and-transferred-dedicated-sub-view/conversations-list-tabular-performance-summary.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.