KB Support pairs a ticket system with a knowledge base in one plugin. Tickets are the kbs_ticket post type, ticket replies are kbs_ticket_reply, customers live in a custom table, and KB articles are the kbs_kb post type with their own categories and tags. The default admin gives you list views for each, but no chart that says how the queue is doing this week or which KB article is preventing the most tickets.

SleekView Charts reads both halves at once. On the ticket side a donut groups kbs_ticket posts by status taxonomy, a horizontal bar groups by assigned agent, and a weekly area counts new tickets by post_date. On the KB side a horizontal bar ranks kbs_kb posts by view count postmeta, a donut groups by KB category taxonomy, and a number card sums the helpful-vote postmeta across all articles. One screen reads the full self-serve and assisted-serve flow.

The point is that fewer tickets means more KB hits. SleekView lets you put the ticket volume chart next to the top-articles chart on the same dashboard, scoped to the same week. When a topic spikes on tickets, the matching KB article should be writing more views; if it is not, the article needs better SEO or a better title. The chart layout makes that pattern visible without leaving WordPress.

A self-serve KB and an assisted-serve ticket system answer the same question from opposite ends. Customers reach the KB first and only open a ticket if the article does not solve the problem. So a topic where tickets are rising and KB views are flat means the article is missing or hard to find, and a topic where KB views are rising and tickets are flat means the article is working.

Reading that pattern requires both halves of the data on one screen, scoped to the same time window. KB Support's default admin keeps tickets and articles on separate screens with separate filters and separate counts, which makes the deflection relationship invisible. SleekView Charts puts a weekly ticket-volume area beside a weekly KB-views bar and a top-articles rank.

The same grid answers how the queue is doing and which docs are pulling their weight, in the same week, from the same source of truth that the table views already read.