> 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/containment-tab-overview-and-sub-views.md). # Containment Tab — Overview & Sub-Views The Containment tab is the primary dashboard for analyzing how effectively the AI platform handles conversations without transferring them to live agents. Containment is one of the most important performance indicators in any AI-powered service platform, as it directly correlates with cost savings, operational efficiency, and AI assistant quality. When the user clicks the Containment tab, a secondary horizontal tab bar appears with nine sub-views, providing a progressive drill-down from summary dashboards to granular record-level detail:

*Figure 1: Containment Tab — Sub-View Navigation*


#	Sub-View	Description
1	Dashboard	Default landing view combining containment rates and conversation breakdown into a single summary.
2	Containment and Transfer Rates	Dedicated time-series chart showing daily containment and transfer rate trends with full filter controls.
3	Total Conversations with Cont…	Stacked bar chart showing daily breakdown of Contained, Successfully Transferred, and Unsuccessfully Transferred conversations.
4	Conversations by Date	Daily conversation volume trend with day-of-week color coding for pattern recognition.
5	Transfers by Date	Daily transfer volume trend line.
6	Conversations and Transfers List	Tabular pivot view with per-assistant, per-day containment and transfer metrics.
7	Conversation Details Page	Record-level drill-down showing full details of individual conversation records.
8	Transfer Details Page	Record-level drill-down showing full details of individual transfer records.
9	Containment Rate Comparison…	Period-over-period comparison of containment rates with delta analysis.

This structure follows a progressive disclosure pattern: users begin with high-level summary dashboards and can drill down to individual records as needed. This supports both executive-level overview and operational root-cause analysis workflows. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.ixhello.com/ix-hello-reporting/premium-reporting/containment-tab-overview-and-sub-views.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.