Conversations by Date and Channel — Dedicated Sub-View

This sub-view provides the full-page, filter-enabled version of the Conversations by Date and Channel line chart. It separates conversation volume by communication channel, allowing analysts to compare traffic across different entry points (e.g., chat vs. phone) over the selected date range.

Figure 1: Conversations by Date and Channel — Full Sub-View (Total Contacts: 27, Daily Average: 2)

1. Chart Details

Visualization Type: Multi-line time-series chart. Each line represents a distinct communication channel. The X-axis plots Day of Conversation Date; the Y-axis plots Contacts count.

Header KPIs: Total Contacts: 27 | Average Conversations (Daily): 2

Data observations from the visible period (03/08/2026 – 04/09/2026, STG stage):

Date	Observations
Wed 3/11/26	Blue channel: 2 conversations. Orange channel: not yet active.
Mon 3/16/26	Blue channel drops to 1. Gap period follows.
Tue 3/17/26	Blue channel: 3 conversations.
Wed 3/18/26	Blue channel: 1 conversation.
Thu 3/19/26	Blue channel: 1 conversation.
Mon 3/23/26	Blue channel: 1. Orange channel appears at 1 — indicating a second channel becomes active.
Wed 3/25/26	Blue channel peaks at 5. Orange channel: 1.
Thu 3/26/26	Blue channel: 2. Orange channel: 1.
Fri 3/27/26	Blue: 1. Orange continues.
Mon 3/30/26	Blue: 1. Orange: 3 — orange channel surpasses blue on this date.
Wed 4/1/26	Blue: 4 (second peak). Orange: 1.
Thu 4/2/26	Blue: 1. Orange: 1.

2. Business Value

Channel-level volume tracking enables teams to understand which communication channels are driving conversation load and whether usage patterns differ between channels. The appearance of the orange (second) channel from 3/23 onwards suggests a new channel was activated or began receiving traffic mid-period. Comparing channel volumes helps justify channel-specific investments in bot optimization and infrastructure capacity.