SleekView Charts for Rocket.Chat
SleekView Charts reads the Rocket.Chat livechat widget logs, omnichannel conversation records and visitor metadata the WordPress integration stores. Conversation volume, channel mix, response time and visitor source render as Number, Pie, Bar and Area cards inside WP Admin.
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Rocket.Chat has the conversations. The WordPress side hides the shape.
Rocket.Chat is an open-source team chat and omnichannel platform that ships an official WordPress plugin for embedding the livechat widget. The plugin stores widget configuration, visitor identifiers and conversation references in WordPress, while the conversation bodies, messages and agent assignments stay on the Rocket.Chat server. Both sides know about every chat, neither side renders it as a dashboard the WordPress operator can read at a glance.
That works for catching a single conversation. It does not work for understanding how livechat is performing across a busy site. A WooCommerce shop with 600 livechat conversations a week, four agents and three departments needs a dashboard, not a Rocket.Chat admin tab in another browser window. The aggregates (chats per day, busiest hour, first response time, abandonment rate) exist in the omnichannel logs, but they do not render as a single workspace next to the post types and users on the WordPress side.
SleekView Charts reads the WordPress-side Rocket.Chat tables and, via the Rocket.Chat REST API option, the omnichannel records the chat server holds. A Number card anchors total livechat conversations this week. A Pie splits chats across departments. A Bar ranks agents by conversations handled. An Area trends conversation volume by hour of day. Same Rocket.Chat data, organised as a dashboard the support lead can read between WordPress posts and orders.
Workflow
Turn Rocket.Chat livechat into a dashboard
Map the Rocket.Chat data sources
Compose the chart cards
Save and scope the dashboard
Share or export
Sample dashboard
Charts you can build from Rocket.Chat data
Conversations this week
Count
Conversations by department
Count
group by department
Conversations per agent
Count
group by agent_username
Conversations by hour
Count
group by hour_of_day
Comparison
Default Rocket.Chat reporting vs SleekView Charts
Rocket.Chat omnichannel admin
- Conversation totals require switching to the Rocket.Chat server admin in a separate tab
- Department mix shown in lists rather than a visual share
- Per-agent volume needs the Rocket.Chat reports add-on enabled by an admin
- Hour-of-day demand curve is not surfaced in the WordPress plugin
- No read-only dashboard URL that lives next to the WordPress posts and orders
SleekView Charts
- KPI card for conversations opened this week or any custom window
- Pie split across Rocket.Chat omnichannel departments
- Bar ranking agents by chats handled in the period
- Area trend of conversation volume by hour or weekday
- Filters carry between the conversation table and chart view on the same Rocket.Chat dataset
Features
What SleekView Charts gives you for Rocket.Chat
Dashboard over Rocket.Chat livechat
Render conversations, departments, agents and hours as Number, Pie, Bar and Area cards so support leads see the shape, not just a Rocket.Chat admin tab in another browser.
Filters span table and chart
Filter to department of support and status of closed in the chart view and the conversation table stays in sync. Same Rocket.Chat dataset, two surfaces.
Share a read-only snapshot
Send the operations lead a URL of the weekly review or export the filtered conversation set to CSV. Reviews get a measurable picture instead of a screenshot of the omnichannel queue.
Audience
Who builds Rocket.Chat charts dashboards with SleekView
Support managers
Anchor the Monday standup on conversations this week, department mix and per-agent volume. Spot the queue that is drifting before a customer escalates it.
Operations leads
Read the hour-of-day area to cut shift schedules against real demand. Stop staffing the 2pm lull with three agents while the 7pm spike runs hot.
Sales teams
Chart sales-tagged conversations and group by visitor source to see which campaigns drive chat. Tie the busiest livechat hours to the highest-converting landing pages.
The bigger picture
Why Rocket.Chat livechat needs a WordPress-side dashboard
Rocket.Chat is a powerful omnichannel platform, but for a WordPress operator the livechat data lives one tab away in a separate admin. That is fine when there are ten conversations a day and one agent. At 600 a week and four agents, the picture stops fitting in anyone's head.
Watching conversation volume, department mix, per-agent throughput and hourly demand as a single dashboard changes the posture from reactive to operational. A queue absorbing too much demand surfaces on the pie before a customer escalates. An underutilised shift surfaces on the area before the budget review.
A coaching opportunity surfaces on the agent bar before a quarter of mediocre satisfaction scores pile up. Same Rocket.Chat omnichannel data, completely different operational posture inside WP Admin.
Questions
Common questions about SleekView Charts for Rocket.Chat
The WordPress-side Rocket.Chat plugin logs and, when configured, the Rocket.Chat REST API endpoints for omnichannel conversations, departments, agents and visitors. No conversation bodies are copied locally, only the metadata needed to aggregate counts and timings for the chart cards.
No. The core conversation, department and agent cards work against Rocket.Chat Community Edition through the public REST API. Enterprise-only fields like advanced SLA timers can be charted when present, but the dashboard does not depend on them.
Yes. The Rocket.Chat livechat widget captures referrer and UTM parameters per visitor. Group by source or campaign to build a Bar that ranks chat-generating channels next to a Pie of department mix.
No. SleekView Charts pages through the Rocket.Chat omnichannel API with date-window queries and caches aggregates per card. Dashboards over months of conversation history render in well under a second on typical hosting.
Yes. The omnichannel records expose servedBy and queue timestamps. An Average aggregation on first response duration grouped by agent_username produces a bar that ranks agents by responsiveness instead of raw volume.
Yes. Rocket.Chat tracks canned response identifiers per message. Group by canned_response_id and aggregate as Count to see which templates the team relies on most and which ones never get used.
Yes. Tags written on omnichannel conversations are first-class filters. A Pie grouped by tag reveals the topic mix and a Bar ranks the tags that drive the longest conversations.
Cards refresh on dashboard load and on an interval you configure per chart. For a standup screen the refresh runs every minute. For a weekly review a daily refresh is enough and keeps the Rocket.Chat API call volume low.
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