SleekView Charts for Chatra for WordPress
SleekView Charts reads the Chatra conversation log custom post type and contact meta directly. Conversation volume, agent load, response time and channel mix render as Number, Pie, Bar and Area cards in WordPress.
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Chatra logs every conversation. WordPress just shows the list.
Chatra's WordPress plugin embeds the live chat widget and syncs conversation events into a chatra_log custom post type. Meta captures channel (live chat, email, Facebook, Instagram), status, assigned_agent, conversation_id and first_response_seconds. The schema gives a support team everything it needs to understand the inbox: who is open, who is responding fast, where conversations originate.
The default admin renders that schema as a chronological list. It is fine for finding a single conversation, useless for understanding the shape of the inbox. "How many conversations did each agent handle this week" is not on the screen. "Is the live chat widget still our main channel or is email overtaking it" is not on the screen. "How is response time trending against our SLA" is not on the screen. The data is in the post type, indexed and queryable, with no dashboard surface.
SleekView Charts reads the chatra_log post type directly. A Number anchors active conversations. A Pie splits the inbox across channels. A Bar ranks conversations per agent. An Area trends average response time over time. Same Chatra inbox, presented as a dashboard the support lead can read at a glance instead of paging through events.
Workflow
Turn the Chatra conversation log into a dashboard
Map the Chatra log
Compose the chart cards
Save and scope the dashboard
Share or export
Sample dashboard
Charts you can build from Chatra for WordPress data
Active conversations
Count
Conversations by channel
Count
group by channel
Conversations per agent
Count
group by assigned_agent
Average response time over time
Average(first_response_seconds)
group by post_date
Comparison
Default Chatra for WordPress reporting vs SleekView Charts
Default Chatra conversation log
- Log is a chronological list, no totals or rate calculations visible
- Channel mix has to be eyeballed from filtered queries by hand
- Per-agent workload is not exposed as a ranking in WP Admin
- Response-time trends live in the Chatra app, not in WordPress
- No read-only dashboard URL to share with a manager outside WP
SleekView Charts
- KPI card for active conversations across every connected channel
- Pie split across live chat, email, Facebook and Instagram sources
- Bar ranking conversations per assigned agent for workload visibility
- Area trend of average first-response time with SLA overlay
- Filters carry between the log table and chart view on the same dataset
Features
What SleekView Charts gives you for Chatra for WordPress
Dashboard over chatra_log
Render the conversation log as Number, Pie, Bar and Area cards so leads see channel mix and agent load at a glance, not a chronological row list.
Filters span table and chart
Filter to channel of live chat and status of open on the chart and the log table stays in sync. Same query, two surfaces, no separate reporting workflow.
Share a read-only snapshot
Send a support manager a URL of the response-time dashboard or export the filtered log to CSV. Weekly reviews work off measurable data, not slide-deck claims.
Audience
Who builds Chatra for WordPress charts dashboards with SleekView
Live chat leads
Anchor a weekly review on active conversations, channel mix and agent load. Spot uneven workload on the bar card before it shows up as agent burnout.
Customer success
Track which channels VIP segments use and how response time holds up across them. Pivot to the table to triage the slow cohort the moment a card flags drift.
Ops managers
Chart response-time trends against shift schedules. The area card shows exactly when SLA slips, which translates directly into staffing decisions.
The bigger picture
Why a live chat plugin needs a dashboard layer
Chatra does the hard part well: a clean live chat widget, multi-channel sync, conversation history landing as proper WordPress data. The default admin then asks the team to read that data as a chronological list. That works at twenty conversations a week and breaks at two hundred.
A weekly view of active conversations, channel mix, per-agent workload and response-time trend changes posture entirely. A growing email share shows up on the pie before someone wonders why the widget feels quiet. An overloaded agent shows up on the bar before they ask for help.
A response-time slip shows up on the area while there is still time to react. Same Chatra inbox, same WP log, completely different operational posture without rebuilding any of the integration.
Questions
Common questions about SleekView Charts for Chatra for WordPress
Chatra for WordPress' own chatra_log custom post type and the meta fields it writes per record. No data is copied, no analytics service is added, the cards render straight off the log the plugin already maintains in WP.
Yes. Chatra's omnichannel sync writes email, Facebook Messenger and Instagram conversations to the same post type with the channel in meta. SleekView Charts treats every channel as a slice of the same dataset, so the channel pie includes them automatically.
Yes. SleekView Charts supports multi-axis grouping, so a stacked Bar can group by assigned_agent on the X axis and stack channels per agent. Useful for understanding agent specialisation rather than just totals.
Yes. The plugin writes first_response_seconds to meta. A Bar filtered to rows above the SLA threshold ranks conversations breaching SLA, and an Area on average response time flags drift before the threshold is widely crossed across the day.
No. WordPress indexes the post type by date and ID, and SleekView Charts batches meta joins behind a cache. Logs with hundreds of thousands of chatra_log rows render the dashboard in well under a second on typical managed-WordPress hardware.
Yes. Each saved chart dashboard is scoped by WordPress capability, so support leads see operational cards while individual agents see only their own activity. Each role saves its own filter presets independent of the others.
Yes when Chatra syncs page_url or referrer to meta. A Pie grouped by source page reveals which pages drive the most chats, which feeds directly into docs or product page investment decisions.
Yes. Every chart card is backed by a SleekView dataset, so the export button on the table view exports exactly the filtered rows powering the chart. Useful when a quarterly review needs the raw conversation log, not just the picture.
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