WP Learning Paths organises courses, lessons, and quizzes into ordered paths, typically stored as a learning_path custom post type with step ordering in wp_postmeta and per-user progress in wp_usermeta or a dedicated progress table depending on the plugin variant in use. The default admin shows path definitions and a per-user progress view, but cross-path cohort tables (every enrolled learner across every active path) aren't a built-in screen.

SleekView reads the learning-path CPT and pivots the relevant meta keys (current step ID, completed step count, path start date, last-active date) into columns. L&D admins get a cohort table with one row per enrollment and progress columns visible at a glance, instructors get a per-path grading queue when paths include quizzes, and customer success gets per-user path history in a single screen instead of post-by-post drilldowns.

Inline status updates route through the plugin's CRUD layer where it exposes one (path completion, step completion) so any downstream hooks behave consistently. Direct postmeta edits are available for back-fill scenarios. The cohort view is the most-used: filter by path ID, sort by completion percentage, group by start date, and the operational layer that the default admin doesn't ship appears in one screen.

Learning paths are designed for sequence: a learner moves through ordered steps with completion gates between them, which means the operational question is rarely about a single learner and almost always about cohorts. Where is the cohort right now, who's stalled, which step has the highest drop-off, which paths are converting from start to completion at acceptable rates. The default admin in most learning-path plugins focuses on the per-learner detail screen because that's the contractual unit of progress, but the per-learner screen is wrong for L&D operations, which run on aggregates and queues.

Building those queues requires unpacking step-progress meta and joining it across users, paths, and steps, work that's straightforward in SQL but painful for the L&D admin who shouldn't need SQL to ask which learners haven't logged in for two weeks. SleekView's job is to expose the underlying CPT and meta tables as composable views with proper filters and inline edits, so the cohort and queue questions become a saved view rather than a custom-report request to engineering. Same data, no scripting, dramatically less waiting.