SleekView for Chatra for WordPress
Chatra's WordPress plugin writes every conversation into the chatra_log custom post type. SleekView reads it directly so support leads, customer success and ops each get a sortable, filterable, inline-editable view over the slice they actually run.
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A clean live chat plugin and a single chronological log
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 manage the inbox: who is open, who is responding fast, where conversations originate.
The default admin renders that schema as a chronological list with a status filter. "Open Instagram conversations Lisa is handling" is not one click away. "All conversations with first-response over 60 seconds" is invisible without manual filtering. Channel, agent and SLA columns are all in meta but none are surfaced on the row.
SleekView reads the chatra_log post type directly. A conversation view shows contact, channel, status, agent and first-response seconds as proper columns, sortable by any of them. Inline edits route through the plugin's CRUD where supported, so reassign and status-change operations stay in sync with Chatra. Same live chat data, presented as a workspace the team can manage from.
Workflow
How SleekView reads your Chatra for WordPress schema
Connect the Chatra log
Compose your column set
Save and scope the view
Edit inline and ship
Sample columns
A typical Chatra for WordPress conversation view
wp_posts + wp_postmeta (chatra_log)
| Contact | Channel | Status | Agent | First response | Updated |
|---|---|---|---|---|---|
| Lara Becker | Live chat | Open | Lisa | 8 sec | Apr 24 11:02 |
| Tom Bailey | Pending | Marc | 42 sec | Apr 24 10:58 | |
| Ria Patel | Open | Lisa | 21 sec | Apr 24 10:41 | |
| Sam Cole | Unassigned | — | — | Apr 24 10:32 | |
| Mia Brewer | Live chat | Closed | Jon | 5 sec | Apr 24 09:51 |
Comparison
Default Chatra for WordPress admin vs SleekView
Default Chatra conversation log
- Log renders chronologically with no agent or response time on the row
- Filtering by channel and status and agent together requires re-clicking facets
- First-response seconds lives in meta and is not surfaced on the list
- Bulk reassignments require opening each conversation
- No saved per-role views (support SLA queue vs customer success VIP triage)
SleekView
- Read directly from chatra_log with meta surfaced as proper columns
- Pivot channel, assigned_agent and first_response_seconds into typed columns
- Inline-edit status, agent and tags across many conversations in one pass
- Save filtered views per role ("SLA breach today", "VIP unassigned")
- Switch between conversation and agent breakdowns in one tabbed page
Features
What SleekView gives you for Chatra for WordPress
Conversations with real Chatra columns
Combine chatra_log fields with channel, agent and SLA columns in one filterable workspace. Replaces a chronological list with a workspace the team can actually manage from.
Filter combinations the default list can't
Filter to channel of live chat and status of open and first_response over 60 seconds in one click. Saved filters become role-specific views for support, success and ops.
Inline edits through Chatra hooks
Reassign agents, change status or tag conversations inline. Edits route through Chatra's CRUD so the platform sync stays accurate on the next round-trip.
Audience
Who uses SleekView for Chatra for WordPress
Live chat leads
Filter to unassigned live chat conversations and clear the queue in a single bulk pass. Reassign in the row so widget visitors do not wait.
Customer success
Filter to VIP contact tags across channels and watch response time per cohort. Pivot to triage the moment a key segment drifts past SLA.
Ops managers
Sort by first_response_seconds descending to see SLA breaches at the top. Bulk-flag conversations for review without exporting to a spreadsheet.
The bigger picture
Why a live chat plugin needs a workspace, not a feed
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, which works at twenty conversations a week and breaks at two hundred. A filterable, sortable, role-scoped table changes posture entirely.
Support clears the unassigned queue in a single bulk pass. Customer success watches VIP cohorts across every channel. Ops surfaces SLA breaches by sorting one column.
Same Chatra inbox, same WP log, completely different operational posture without rebuilding any of the integration.
Questions
Common questions about SleekView for Chatra for WordPress
Chatra for WordPress' own chatra_log custom post type and its meta. No data is copied, no analytics service is added, the table renders straight off the log the plugin already maintains in WordPress.
Yes. Chatra's omnichannel sync writes email, Facebook Messenger and Instagram conversations to the same post type with the channel in meta. SleekView treats every channel as a slice of the same dataset so the table includes them automatically.
Yes when the plugin exposes a CRUD endpoint for the agent meta. SleekView calls the same action the conversation screen uses so reassignments fire the existing audit hooks and round-trip to Chatra on the next sync.
Yes. The plugin writes first_response_seconds to meta. A SleekView filter on that column above a threshold ranks breaches at the top, and the same column sorts descending so the worst offenders sit on the first page.
No. WordPress indexes the post type by date and ID, and SleekView batches meta joins behind a cache. Logs with hundreds of thousands of chatra_log rows render the table in well under a second on typical managed-WordPress hardware.
Yes. Each saved view is scoped by WordPress capability so support leads see the open queue while individual agents see only their own conversations. Each role saves its own filter and column presets.
Yes when Chatra syncs page_url or referrer to meta. SleekView surfaces it as a filterable column so a per-page conversation view is one click away for docs investment decisions.
Yes. Any filtered view exports to CSV with the exact column set on screen. Useful when a quarterly review needs the raw conversation log, not a screenshot.
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