SleekView Charts for weDocs: documentation dashboards in WordPress
weDocs stores documentation as the docs post type with a three-level nested category structure under the doc_category taxonomy, plus feedback and view postmeta from its built-in feedback block. SleekView Charts groups all of that into one screen.
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Doc reporting without leaving the editor
weDocs from weDevs is built around a clean three-level nested document structure. Articles are docs posts, sections and subsections are terms in the doc_category taxonomy, and the Helpful Feedback block writes vote counts to postmeta on every article that uses it. The Pro AI Chatbot logs queries to its own table, the floating contact form writes submissions to postmeta or a custom table, and the drag-and-drop tree lets editors restructure the hierarchy at any time.
SleekView Charts reads the docs post type and its doc_category taxonomy as one connected dataset. A horizontal bar ranks docs by view count from the optional view-tracking postmeta. A donut groups article counts by top-level category, with optional drill-down into subsections via filter. A number card sums helpful votes from the feedback-block postmeta across the catalog. A weekly area counts new docs by post_date to surface publishing cadence.
The AI chatbot and contact form add another dimension: queries and submissions become chart cards on the same dashboard. The top recurring user questions show up as a bar, ready to convert into docs. Contact-form submissions per article become a frustration signal: articles that drive many contact-form submissions are likely failing to answer the question, even if they are getting views and helpful votes from successful readers.
Workflow
From the docs CPT to a weDocs dashboard
Detect weDocs
Pick aggregations
Lay out the cards
Save and reopen
Sample dashboard
Charts you can build from weDocs data
Helpful votes this month
Sum(_wedocs_helpful)
Top docs by views
Sum(_wedocs_views)
group by ID
Docs by category
Count
group by doc_category
New docs per week
Count
group by post_date
Comparison
Default weDocs admin vs SleekView Charts
Default weDocs admin
- Default admin shows a docs tree, not visual rankings or charts
- Helpful-vote postmeta sits per-article, never summed across the catalog
- Category distribution is not surfaced as a chart in the admin
- Weekly publishing cadence requires manual filtering by date
- AI chatbot query log not exposed as a chart on the default screen
SleekView Charts
- Rank docs posts by view-count postmeta in a horizontal bar
- Group counts by doc_category taxonomy with nested drill-down
- Sum Helpful-Feedback-block postmeta across the catalog as a KPI
- Weekly publishing trend from post_date for content velocity
- Drill from a chart bar back to the filtered docs list in one click
Features
What SleekView Charts gives you for weDocs
Top docs rank
Horizontal bar of docs ranked by view-count postmeta. The default weDocs admin shows a tree, not a ranking, so the deflection top-10 used to require a manual export and a spreadsheet pivot.
Nested category donut
Donut of docs counts grouped by the top-level doc_category, with drill-down into subsections via the same SleekView filter. Read the three-level nested hierarchy as a chart instead of a tree.
Feedback KPI
Single number summing helpful votes from the weDocs Helpful Feedback block across the catalog. The headline KPI that says whether the docs catalog is doing its job for the period.
Audience
Who runs weDocs dashboards with SleekView
Docs owners
Top-docs bar, nested category donut, and helpful-vote KPI on one screen. The weekly review of what is working in the weDocs catalog takes one dashboard view instead of three manual exports.
Content leads
Compare publishing cadence against the helpful-vote trend. A flat publishing line with a falling vote sum says the team should refresh existing docs rather than write brand-new ones from scratch.
Support leads
Pair weDocs views with a helpdesk ticket-volume chart on the same SleekView dashboard. Topics where tickets rise but doc views stay flat are the next gap in the docs catalog to fill for the team.
The bigger picture
Why a docs site needs the chart layer, not just a tree
weDocs is built around a clean three-level nested document tree, which is a great editing model but a poor reporting model. Reading whether category A is generating more traffic than category B, or whether last week's published articles are matching last week's helpful-vote distribution, or whether the AI chatbot is being asked questions the catalog already answers, all require walking the tree by hand. The data is there: helpful votes from the feedback block, view counts from optional view trackers, category taxonomy, publish date, and the AI chatbot query log are all real WordPress data.
SleekView Charts visualizes that data as ranked bars, donuts, KPI sums, and weekly areas on one dashboard. The docs team finally sees the catalog as a single shape instead of a navigation menu, and the support team can compare docs traffic with ticket volume on the same screen.
Questions
Common questions about SleekView Charts for weDocs
Yes. The weDocs Helpful Feedback block writes vote counts to postmeta on the docs post. SleekView lists that key as a chart metric, so summing helpful votes across the catalog or grouping by category is a one-card operation on the dashboard, without any export step.
 Yes, provided a view tracker is writing view counts to postmeta on docs posts. weDocs itself does not ship a view-tracking module, but most sites use a tracking plugin that writes to postmeta. SleekView lists every postmeta key as a chart dimension, including any view-count key.
 Yes. doc_category is a hierarchical taxonomy with three nested levels in weDocs. SleekView lets you filter chart cards by parent category or by a specific child, and the same filter applies to drill-down clicks on a donut slice, taking you to the docs list scoped to that subsection.
 If the Pro AI Chatbot writes its query log to postmeta or a custom table that SleekView can register, yes. The top recurring queries surface as a bar, and queries that returned no docs become the next articles to write. Implementation depends on which Pro add-on is active.
 Yes. Clicking a chart slice or a bar opens the underlying SleekView table view with the same filter applied. From the top-docs bar, one click opens the docs list filtered to those articles, ready for inline editing or category reassignment from the same screen.
 Yes. SleekView honors WordPress capabilities, plus the role-based permission management weDocs Pro adds for granular control. A docs-owner role sees only the docs they can edit; an admin sees everything. Capability checks apply identically to charts and tables.
 Yes. SleekView reads any active dataset on the same dashboard, so you can put weDocs view-sums next to a helpdesk ticket-volume chart on one layout. Topics where tickets climb and doc views stay flat become the docs-gap top-10 for the next sprint, all without leaving WordPress.
 Charts run aggregate queries on demand against wp_posts and wp_postmeta. The queries use the same indexes WordPress already maintains for post-type and meta lookups. On docs catalogs with thousands of articles across nested categories, dashboards load in under a second.
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