SleekView Charts for Linguise Translate
Linguise Translate routes translation through its hosted service and stores active languages and per-page translation references in WordPress. SleekView Charts reads that state and renders coverage by language and by post type as Number, Pie, Bar, and Area cards.
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Coverage as a number, not a hosted dashboard tab
Linguise Translate handles translation through its own service and stores the configuration that makes a multilingual site possible inside WordPress: active language list, original URLs, per-page translation references, and the rules around which post types and paths are translated. The Linguise side dashboard summarises traffic and word counts; what it does not give back is a per-post coverage view inside WP admin.
SleekView Charts reads the active-language option and the per-post Linguise meta directly. A Number card shows overall coverage percent. A Pie splits the catalog into translated, partial, and missing across active languages. A Bar ranks coverage per language. An Area trends coverage week over week so a launch sprint sees the line move as work lands.
The hosted service still handles the actual translation. SleekView Charts handles the question of where the WordPress side stands today, scoped to the post types and rules that the Linguise configuration covers.
Workflow
Turn Linguise state into a dashboard
Read active languages and refs
Compose the chart cards
Save and scope the dashboard
Share or export
Sample dashboard
Charts you can build from Linguise Translate data
Overall coverage percent
Average(coverage_percent)
Coverage by language
Average(coverage_percent)
group by language_code
Coverage by post type
Average(coverage_percent)
group by post_type
Coverage trend
Average(coverage_percent)
group by snapshot_week
Comparison
Default Linguise reporting vs SleekView Charts
Default Linguise reporting
- Hosted-side reporting focuses on traffic and word totals, not coverage percent
- No per-post coverage view inside WP admin
- No breakdown of coverage by WordPress post type
- Stale or missing translations are not surfaced as a number
- No way to share a read-only WP-admin snapshot with stakeholders
SleekView Charts
- Single KPI for overall translation coverage percent
- Per-language bar so weak targets stop hiding in averages
- Donut of coverage by post type for launch checklists
- Area trend of coverage across the catalog for sprint reviews
- Filters carry between the coverage table view and the chart view
Features
What SleekView Charts gives you for Linguise Translate
Coverage as a real number
Render the Linguise translation state as a KPI in WP admin so launch sprints commit to a target and see whether they actually hit it.
Splits by language and type
Per-language bars and per-post-type donuts expose which combinations slow a release down, so launch checklists anchor on data instead of impressions.
Share read-only snapshots
Send a localization lead a dashboard URL or export the underlying coverage rows to CSV. Sprint reviews and renewal meetings land with evidence.
Audience
Who builds Linguise Translate charts dashboards with SleekView
Localization managers
Plan rollouts against a coverage KPI per language and post type instead of pulling word counts from the hosted dashboard into a deck by hand.
Editorial leads
Spot which post types ship untranslated by default and tighten the publishing checklist so new posts include a translation owner from day one.
Site owners
Track Linguise coverage trend across the catalog and budget translation work before a quarterly review surfaces the same gaps as a surprise.
The bigger picture
Why coverage percent is the question Linguise leaves to the client
Linguise Translate succeeds by hiding the translation step behind a hosted service, which is also why the WP-admin side stays thin. Word totals and traffic graphs answer marketing questions; they do not answer the question of whether the German catalog is at 64 percent or 92 percent coverage this week, and they do not tell an editorial lead which post types ship untranslated by default. Reading the active-language config and per-page references already in WordPress turns those questions into chart cards.
A KPI anchors a sprint. A per-language bar surfaces the weak target before customers do. A per-post-type donut puts launch checklists on a real footing.
A coverage trend confirms that the work moved the number rather than just producing a one-off review. Linguise keeps doing the translation; SleekView Charts adds the reporting layer the team was already trying to build by hand.
Questions
Common questions about SleekView Charts for Linguise Translate
Only the Linguise configuration and per-page translation references already in WordPress, primarily the active-language option and the postmeta keys Linguise writes against translated content. The dashboard never talks to the Linguise service directly.
 No. Linguise still does the actual translating through its hosted service. SleekView Charts only surfaces coverage percent, language splits, and post-type distribution so the team can plan and review the work.
 Yes. Group a Pie or Bar card by post_type and aggregate coverage_percent as an average. A donut variant usually reads best because the labels stay legible even when one post type dominates the catalog.
 Yes. Snapshot the coverage state weekly and use an Area or Line card grouped by snapshot_week. The trend confirms that a translation sprint actually moved the number rather than producing a single before-and-after.
 Yes. SleekView paginates server-side and caches resolved coverage rows, so a site with ten active Linguise languages and tens of thousands of posts loads in seconds rather than minutes.
 Yes. Each saved dashboard is gated by WordPress capability, so localization managers, editorial leads, and read-only stakeholders each see the slice that matches their role.
 No. The dashboard runs against the WordPress database in WP admin only. The Linguise runtime that serves translated URLs to visitors stays exactly as configured on the hosted side.
 Yes. Any filtered chart card has a corresponding CSV export of the rows behind it, so translator briefs and audit reports ship as scoped lists of slugs with language and last-edit details.
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