> For the complete documentation index, see [llms.txt](https://docs.ixhello.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ixhello.com/ix-hello-reporting/premium-reporting/total-conversations-with-contained-and-transferred-dedicated-sub-view.md).

# Total Conversations with Contained & Transferred (Dedicated Sub-View)

This is the expanded, full-page version of the Total Conversations with Contained and Transferred stacked bar chart. It provides the same filter panel as the Containment & Transfer Rates sub-view, enabling granular analysis of absolute conversation volumes.

<figure><img src="/files/w3VKAQK5IuHc5nXqhYah" alt=""><figcaption><p><em>Figure 1: Total Conversations with Contained &#x26; Transferred — Full Sub-View</em></p></figcaption></figure>

### 1. Chart Details

**Visualization Type:** Stacked bar chart with daily granularity.

**Legend:** Contained (blue), Successful Transfers (orange), Unsuccessful Transfers (red).

**Dashed Reference Line:** A horizontal dashed line near the 5,000 mark indicates the average daily conversation volume across the selected period, providing a quick visual benchmark for identifying above-average and below-average days.

Each bar is labeled with the exact conversation count for that day. The data clearly reveals a consistent weekday/weekend pattern: weekdays average 6,500–8,000 conversations while weekends drop to 800–2,500.

### 2. Business Value

While the Containment Rate chart (Section 9) shows relative performance as a percentage, this view shows absolute volumes. This distinction is critical: a 100% containment rate on a day with 862 conversations tells a very different operational story than 100% containment on a day with 8,065 conversations.

The absolute volume view supports capacity planning (identifying peak days that require more infrastructure), weekend/holiday staffing decisions, and trend analysis over time. Filtering by assistant name enables volume comparison across different bots, helping teams understand which assistants drive the most traffic.

The presence of Unsuccessful Transfers (red) in the legend — even when zero — serves as a constant reminder to monitor for failed transfer attempts, which represent some of the worst customer experiences: the AI could not help, and the handoff to a human also failed.


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