# Conversations by Date The Conversations by Date sub-view presents a bar chart of daily conversation volumes with a distinctive feature: each bar is color-coded by the day of the week, making weekly patterns immediately visible at a glance.

*Figure 1: Conversations by Date — Color-Coded by Day of Week*

### 1. Day-of-Week Color Coding


Day	Color	Typical Volume Pattern
Monday	Blue	High volume — start of business week, backlog from weekend
Tuesday	Orange	Peak volume — typically the highest conversation day
Wednesday	Pink	High volume — mid-week sustained activity
Thursday	Teal	High volume — slight decline from mid-week peak
Friday	Green	Moderate-high — beginning of weekend wind-down
Saturday	Yellow	Low volume — weekend drop-off
Sunday	Purple	Lowest volume — minimal weekend activity

### 2. Additional Features Events On/Off Toggle: Located in the filter panel, this toggle overlays event markers (deployments, configuration changes, known incidents) on the chart. This enables correlation analysis between operational events and conversation volume changes. Dashed Average Line: A horizontal dashed reference line indicates the average daily volume, enabling quick identification of above- and below-average days. ### 3. Business Value The day-of-week color coding transforms a standard volume chart into a powerful pattern recognition tool. Teams can immediately identify whether a volume anomaly is expected (e.g., a typical Monday spike) or unexpected (e.g., a Saturday surge that breaks the normal pattern). This supports anomaly detection, capacity planning, and workforce scheduling decisions. The Events overlay enables causal analysis: if a new bot version was deployed on Wednesday and Thursday’s volume dropped 20%, the event marker makes this correlation immediately visible without cross-referencing deployment logs. --- # 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-by-date.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.